Artificial Intelligence and You

This and all episodes at: https://aiandyou.net/ . I have been talking with Maurice Chiodo, Assistant Research Professor at the Centre for the Study of Existential Risk at the University of Cambridge, about his new paper titled Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It and everything that control of AI and loss of it means. Maurice is the principal investigator of the Ethics in Mathematics Project, holds two PhDs in mathematics, from Cambridge and the University of Melbourne, and has over a decade of experience working as an academic mathematician. He has direct industry experience with over 30 startups, having been a member of the Ethics Advisory Group at Machine Intelligence Garage UK for over 2 years. In this conclusion of the interview we talk about AI in wartime decision making, the mechanics of real-time detection of loss of control, the problems with putting a human in the loop, and some of the most serious scenarios of loss of control. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . With so much talk about the need to control AI, and notable incidents of losing control of it, like the OpenAI/HuggingFace incident among others, we will do a deep dive on what control or loss of control of AI means with the help of Maurice Chiodo, Assistant Research Professor at the Centre for the Study of Existential Risk at the University of Cambridge, and the principal investigator of the Ethics in Mathematics Project, where he addresses the ethical challenges and risks posed by mathematics, mathematicians, and mathematically-powered technologies. Maurice holds two PhDs in mathematics, from the University of Cambridge and the University of Melbourne, and has over a decade of experience working as an academic mathematician on problems in algebra and computability theory. He has direct industry experience with over 30 startups, having been a member of the Ethics Advisory Group at Machine Intelligence Garage UK for over 2 years. But his recent paper titled Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It, forms the main reason for our interview. We talk about ethical issues in mathematics and whether there should be a Hippocratic oath for mathematicians, AI’s impact on mathematics in solving previously unsolved problems, how to define control and losing it (using sharks as an example), and the difference between operational, tactical, and strategic goals.  All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We are back on the consciousness train again, trying to understand what that thing is. So I've been talking with Joscha Bach, renowned cognitive scientist who uses the lens of artificial intelligence to understand the human mind. He has taught and researched at Humboldt University of Berlin, the Institute for Cognitive Science in Osnabrück, the Berlin School of Mind and Brain, MIT’s Media Lab and the Harvard Program for Evolutionary Dynamics. He’s the creator of the MicroPsi cognitive architecture, the author of Principles of Synthetic Intelligence, and the executive director of the California Institute for Machine Consciousness. We conclude by talking about how to know if something is conscious, the role of memory, what Joscha thinks of Integrated Information Theory, applying the Turing Test to LLMs and whether they’re entitled to rights, substrate independence, or the portability of consciousness from one platform to another, the possibility of making a conscious AI, and the geopolitics of doing so.  All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We are back on the consciousness train again, trying to understand what that thing is. Most of us would cop to being conscious, but how many of us have any idea how to describe it, let alone test for it? Here to help with that is Joscha Bach, cognitive scientist, AI researcher, and philosopher who uses the lens of artificial intelligence to understand the human mind. He has taught and researched at Humboldt University of Berlin, the Institute for Cognitive Science in Osnabrück, the Berlin School of Mind and Brain, MIT Media Lab and the Harvard Program for Evolutionary Dynamics. He’s the creator of the MicroPsi cognitive architecture and the author of Principles of Synthetic Intelligence. At Intel Labs, he led a team for cognitive AI. He is currently the executive director of the California Institute for Machine Consciousness where he draws on computer science, neuroscience, psychology, and philosophy to ask how minds construct reality, how consciousness might emerge from computation, and what AI can teach us about ourselves. We talk about the Institute’s mission, the machine consciousness hypothesis, why we actually are in a particular kind of simulation, dreaming, the role of perceptions and predictions, and a fascinating take on the Chinese Room. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . The idea of AI posing an existential risk to the human race is kind of like the Terminator itself – it just keeps coming back. We'll look at some of the history of that issue, how attitudes towards it have waxed and waned over the years, and recent events where AIs have escaped their containers and the reactions - or lack thereof - to those incidents. What should we take away from this slow-motion train wreck and what should we do about it? All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What is AI doing to medicine? Specifically, in molecular biology, and protein folding: figuring out the 3-D structure of proteins. Remember DeepMind's AlphaFold and the announcement of it predicting 200 million protein structures? I'm talking with one of the top researchers in the world, Professor Mohammed AlQuraishi of Columbia University’s Department of Systems Biology, and a member of their Program for Mathematical Genomics. He heads a lab focused on biological perspectives at the molecular and systems levels. He has an MS in statistics and a PhD in genetics from Stanford University and was a Departmental Fellow at Harvard Medical School. We conclude by talking about how the advent of AlphaFold landed in the protein folding community; how AI is about to transform molecular biology and scientific experimentation; the possibility of simulating a cell; OpenFold, Mohammed’s answer to the closed source parts of AlphaFold; and his vision for the next 10 years of the field. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What is AI doing to medicine? Specifically, in molecular biology, and protein folding: figuring out the 3-D structure of proteins, which look like the output of a pasta-making machine on LSD. Remember DeepMind's AlphaFold and the announcement of it predicting 200 million protein structures? I have questions. And here to answer them is one of the top researchers in the world, Professor Mohammed AlQuraishi of Columbia University’s Department of Systems Biology, and a member of their Program for Mathematical Genomics. He heads a lab focused on biological perspectives at the molecular and systems levels. He has an MS in statistics and a PhD in genetics from Stanford University and was a Departmental Fellow at Harvard Medical School. As if that wasn’t enough, before this storied academic career, he founded two startups in the mobile computing space.  We talk about Mohammed’s background in molecular biology, the big goals of that field and his North Star of understanding biology well enough to simulate it; why I haven’t yet seen the kind of revolutionary impact I was expecting from AlphaFold, what it means for a protein to fold and why it’s a big deal and how AlphaFold and similar models work at figuring that out. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . If you’ve joined us in the last three years, you may not have ever scrolled back to look at the episodes of the show that aired before you came along. But every time I look back over them, I am struck by how much of the content is not just relevant, but deeply valuable. That’s fairly amazing in a world where AI goes through a fundamental change every quarter. Career advice like, “Become a prompt engineer” was once cutting edge and now is quaint and pointless. But we’ve always gone much deeper than that kind of flavor of the month. And so, to give you an idea of why it’s worth going back to episodes that aired even years ago, I’m going to list the episodes we’ve done since the last retrospective like this – which was a bit too long ago, it was episode 100 – and something interesting about each episode which will hopefully whet your appetite for scrolling back far enough to find it. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I am in the throes of interviewing Rana Gujral, who is CEO of Behavioral Signals, creating systems that infer intent, emotion, and deception risk from voice, deployed in application from financial services to defense. He has a TEDx talk with a million views, has keynoted at the World Government Summit and World Economic Forum, and was named Most Influential CEO by CEO Monthly. He is also author of the new book The AI Instinct: The Future of AI and Human Decision-Making, which is a much more philosophically deep work than I had been expecting, and we are discussing it at length. We talk about hybrid minds – humans plus AI – and Rana’s framework of model for those, and how to manage governance of a company that’s using hybrid minds, incorporating Rana’s idea of a synthetic empathy layer for AI and how to manage the boundaries between human and AI control, and where we need to make sure we continue to be challenged, and finally AI consciousness and how to integrate these high level concepts into an AI-forward business. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . This week I am talking with Rana Gujral, author of the new book The AI Instinct: The Future of AI and Human Decision-Making, a deeply thoughtful, expansive, and philosophical book, like its author. Rana is CEO of Behavioral Signals, creating systems that infer intent, emotion, and deception risk from voice, deployed in application from financial services to defense. He has a TEDx talk with a million views, has keynoted at the World Government Summit and World Economic Forum, and was named Most Influential CEO by CEO Monthly. We talk about Rana’s idea of artificial general experience, whether we need AI with persistent memory and universal awareness, whether AGI needs a physical experience of the world - what we call a world model – and what video generation models reveal about that, the role of empathy, whether AGI will come through an understanding that we consciously design or through emerging from a sufficiently complex general design, whether we ourselves are stochastic parrots, and AI as augmenting vs replacing human judgement. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We're looking at whether AI is bubbling, popping, jumping the shark, or otherwise outstaying its welcome. I'll explore the Hype Curve, the two dimensions of the Jagged Frontier to keep in mind when tracking AI technologies along that curve, what drives backlash and why it's inevitable, and the state of expectations met or unmet across key sectors, getting into specific activity in the financial, educational, and regulatory spheres. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I am talking with Gašper Beguš, leading researcher in decoding the language of whales. He is Associate Professor of Linguistics at UC Berkeley and the Linguistics Lead at Project CETI, the Cetacean Translation Initiative, applying advanced machine learning and state-of-the-art robotics working in the eastern Caribbean. In his Berkeley Biological and Artificial Language lab, he also builds the most realistic models of human language learning. He’s been featured everywhere from the BBC and the Guardian to Time, The Atlantic, and National Geographic. In the conclusion of our interview, Gašper is going to introduce us to his whale family, talk about how we know whether translations are correct, what’s going on in the neural nets that decode whale language and the role that generative AI has played, the robots that they use, and whale emotions.  All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We're going underwater, to talk with whales. There have been some amazing breakthroughs recently in understanding the language of sperm whales, and AI plays a fascinating part in that. And even if you have no immediate intentions to go say hi to a whale, AI's part in this story has ramifications far outside the field of cetacean communication. Taking us through that is Gašper Beguš, whose recent research has produced one of the most startling advances yet in the quest to understand whale communication. Gašper is Associate Professor of Linguistics at UC Berkeley, where he focuses on interpretable AI, combining linguistics, cognitive science, machine learning, neuroscience, philology, and marine biology. He is the Linguistics Lead at Project CETI, a nonprofit organization applying advanced machine learning and state-of-the-art robotics to understanding whales, working in Dominica in the eastern Caribbean. In his Berkeley Biological and Artificial Language lab, he also builds the most realistic models of human language learning. He's been featured everywhere from the BBC and the Guardian to Time, The Atlantic, and National Geographic. We start with a fascinating backgrounder in linguistics, then talk about what's captivating about whales, comparing them to other vocalizing creatures, talk about communicating with aliens and interspecies communication, what language even means for whales, and… the birds and the bees.  All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I am talking with Katja Grace, founder of AI Impacts, a forecasting and risk research project focused on AI safety and governance. She has leveraged her passion and concern about AI risk into a significant role in, for instance, surveying the AI community for its evaluations of risk, which got her named to Time Magazine’s 100 most influential people in AI for 2024. She is an expert on technological trajectories, model scaling, and anthropic reasoning. In our conclusion, we talk about predicting superintelligence, Katja’s p(doom), regulation, the Great Filter argument, and Katja’s childhood calculations for dealing with lethal snake encounters. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . When you stop and really consider the existential risks of AI, it becomes very apparent that we should do something. Yet so few people do. Someone who’s attempting to make up for that is Katja Grace, founder of AI Impacts, a forecasting and risk research project focused on AI safety and governance. Her surveys of the AI community’s evaluations of risk have gotten her named to Time Magazine’s 100 most influential people in AI for 2024 and her papers on those surveys have been some of the most discussed scientific papers of their time. She’s an expert on technological trajectories, model scaling, and anthropic reasoning. We talk about what’s driving Katja to do this work, the fundamental risks that she sees in AI, AI evolving unexpected goals, risks of agents, comparing unemployment risks and like extinction risks, artificial general intelligence, the stunning results of the surveys she’s run on when AI will have serious effects, and… Trojan Horse racing. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I have been talking with Tomaso Poggio, Eugene McDermott professor in the Department of Brain and Cognitive Sciences at MIT and the Director of the Center for Brains, Minds, and Machines, and one of the founders of the field of computational neuroscience. Tomaso is a fellow of the American Academy of Arts and Sciences and of the American Association for the Advancement of Science, and a founding fellow of the Association for the Advancement of Artificial Intelligence. He develops models of brain function that illuminate human intelligence and builds intelligent machines that can mimic human performance His new book, Brains, Minds, Machines, The Mystery of Human Intelligence, the Enigmas of the Artificial, comes out this summer. We talk about learning in the brain and synaptic mechanisms, the role of sleep, what AI scientists should pay more attention to from neuroscience, other computational mechanisms in the brain besides neurons, connectomics, robotics, and… flies and worms. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Studying human intelligence is a matter of neuroscience, and creating software is a matter of computing, so creating artificial intelligence would be at the intersection of those fields, called computational neuroscience, and I have with me one of the founders of that field. Tomaso Poggio is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences at MIT and the Director of the Center for Brains, Minds, and Machines. He is a fellow of the American Academy of Arts and Sciences and of the American Association for the Advancement of Science, and a founding fellow of the Association for the Advancement of Artificial Intelligence. His home page says that he “develops models of brain function that illuminate human intelligence and builds intelligent machines that can mimic human performance.” Wow. His new book, Brains, Minds, Machines, The Mystery of Human Intelligence, the Enigmas of the Artificial, comes out this summer. Tomaso defines computational neuroscience, and then we talk about computation in the human brain, how large language models landed for him, holography, limitations of LLMs, and backpropagation equivalents in the human brain. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I'm talking with Professor Michael Gerlich . His new book, The Convenience Trap: What Happens When AI Becomes the Mind Behind Our Lives is about the threats to what I call our "cognitive autonomy" when we use AI the wrong way. And it turns out that the ways we tend to use it are mostly the wrong way, which was what Michael was talking about on the show last October, because he is the author of a widely-cited study showing that students’ use of AI for cognitive offloading impaired their critical thinking. But his new research shows that following what he calls the structured prompting protocol, of using your brain first, AI second, results in improved learning. Michael is the Head of Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School. His research and publications largely focus on the societal impact of Artificial Intelligence. He’s also taught at the London School of Economics and Political Science, Cambridge, and other institutions. He’s also been an adviser to the President and the Prime Minister of Kyrgyzstan, the Uzbekistan Cabinet, and ministers of economic affairs in Azerbaijan. We conclude the interview by talking about conducting as a metaphor for directing our thinking, AI’s effects on group collaboration, the effects on humans who are reduced to being monitors of AI, the mental models schools have of AI, possible controls on children using AI, and how AI companies might improve their products to help with these problems. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Professor Michael Gerlich is back on the show, calling from Zurich, Switzerland. His new book, The Convenience Trap: What Happens When AI Becomes the Mind Behind Our Lives is about the threats to what I call our "cognitive autonomy" when we use AI the wrong way. And it turns out that the ways we tend to use it are mostly the wrong way, which was what Michael was talking about last October, because he is the author of a widely-cited study showing that students’ use of AI for cognitive offloading impaired their critical thinking. But his new research shows that following what he calls the structured prompting protocol, of using your brain first, AI second, results in improved learning. Michael is the Head of Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School. His research and publications largely focus on the societal impact of Artificial Intelligence. He’s also taught at the London School of Economics and Political Science, Cambridge, and other institutions. He’s also been an adviser to the President and the Prime Minister of Kyrgyzstan, the Uzbekistan Cabinet, and ministers of economic affairs in Azerbaijan. We start with a - frankly shocking - story that shows how dependent students have become on AI, then talk about how to avoid cognitive offloading, how to use AI more effectively, the anchoring effect of AI use, using a GPS as an analogy, and the risks of unexamined AI use. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What is AI doing and going to do to job opportunities? What does it mean to have enough, and who has too little, and what’s fair? One answer to that is to look at inequality; how different are the financial circumstances of one set of people compared to another? I continue talking with Jeremy Ney, Adjunct Professor at Columbia Business School and author of an upcoming book about opportunity and inequality in America. He writes the American Inequality newsletter and was previously a macroeconomic policymaker at the Federal Reserve. His work on regional divides and economic mobility has appeared in TIME Magazine, Business Insider, BBC, NPR, PBS, and on the TED stage. In our conclusion, we talk about Universal Basic Income, taxes and other systems of wealth redistribution, whether AI should be treated as a public utility, AI and redlining, AI causing cognitive inequalities in education, and where we should be looking to for change. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What is AI doing and going to do to job opportunities? What does it mean to have enough, and who has too little, and what’s fair? One answer to that is to look at inequality; how different are the financial circumstances of one set of people compared to another? Here to help us understand that is Jeremy Ney, Adjunct Professor at Columbia Business School and author of an upcoming book about opportunity and inequality in America. He writes the American Inequality newsletter and was previously a macroeconomic policymaker at the Federal Reserve. His work on regional divides and economic mobility has appeared in TIME Magazine, Business Insider, BBC, NPR, PBS, and on the TED stage. We talk about how AI affects inequality in job availability, particularly recent college grads, and Jeremy has crunched a lot of current data about that. Is the answer to become a plumber or electrician? Where is the wealth dividend from automation going? We talk about the difference between low-wage and low-skill work, the Gini Coefficient, socioeconomic mobility, the cost of higher education vs the college wage premium and how schools and AI might democratize that dilemma. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I am talking with Rob May, Co-Founder and CEO of NeuroMetric AI, optimizing inference for multi-model AI systems, and returning to the show after 5 years. We're making sense of how rapid advances in AI—especially the shift from training to real-world inference—are reshaping work, business strategy, and the roles of humans. They accelerate productivity while increasing cognitive demands and redefining where human judgment still matters. A serial entrepreneur, Rob has founded and scaled multiple successful companies including Backupify, Talla, Dianthus, and BrandGuard. He’s also an active angel investor with over 100 portfolio companies and brings firsthand insight into the evolution of AI entrepreneurship. His expertise lies at the intersection of AI research, applied inference, and startup strategy. He is also the co-host of the AI in NYC Show, where he discusses the latest breakthroughs in AI infrastructure and reasoning with top founders, investors, and researchers. We conclude the interview by talking about AI processing on local devices, natural limits to automation, the shift in competitive advantage from execution to creativity, and restructuring of the economy and the workforce.  All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Rapid advances in AI—especially the shift from training to real-world inference—are reshaping work, business strategy, and the roles of humans. They accelerate productivity while increasing cognitive demands and redefining where human judgment still matters. Here to help us get a handle on that and returning to the show after five years is Rob May, Co-Founder and CEO of NeuroMetric AI, a pioneering company optimizing inference for multi-model AI systems. A serial entrepreneur, Rob has founded and scaled multiple successful companies including Backupify, Talla, Dianthus, and BrandGuard. He’s also an active angel investor with over 100 portfolio companies and brings firsthand insight into the evolution of AI entrepreneurship. His expertise lies at the intersection of AI research, applied inference, and startup strategy. He is also the co-host of the AI in NYC Show, where he discusses the latest breakthroughs in AI infrastructure and reasoning with top founders, investors, and researchers. We talk about how the bottleneck in business is shifting from labor to cognition, the paradoxical way AI is increasing workloads and cognitive strain, the rise of inference as the core AI economy, and how infrastructure constraints are pushing towards a more distributed AI ecosystem. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . AI abounds with paradoxes.  I have been talking about those with Virginia Dignum, professor of responsible artificial intelligence at Umeå (OOMEO) university, about her new book, The AI Paradox: How to Make Sense of a Complex Future, just released, with links in the show notes and transcript. Virginia is an internationally recognized expert in AI ethics and policy who has led initiatives for the European Commission, the United Nations, the World Economic Forum, UNESCO, and UNICEF, among others, and is the author of the 2019 book Responsible Artificial Intelligence. We conclude the interview by talking about some paradoxes in detail, like Moravec’s Paradox, questions about using AI in legal decisions, AI literacy, and the recent battle between Anthropic and the US Department of Defense, and OpenClaw. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . AI runs not just broadly across human interest, but deeply. And at every level it seems to create paradoxes. How can it be useful without power; how can it be safe with power. We want it to take over jobs, but still leave us with meaning and purpose. We deny it the possibility of becoming sentient, but how can we trust something that lacks compassion? My guest today has written a whole book on these paradoxes. Calling from Sweden is Virginia Dignum, professor of responsible artificial intelligence at Umeå University, and the author of the 2019 book Responsible Artificial Intelligence. She’s an internationally recognized expert in AI ethics and policy who has led initiatives for the European Commission, the United Nations, the World Economic Forum, UNESCO, and UNICEF, among others. And we are talking about her new book, The AI Paradox: How to Make Sense of a Complex Future. We talk about the issues of ethical choices and power that AI raises, where the difference between humans and LLMs matters, Viriginia’s path to the work she’s doing and her book, and our trend to techno-solutionism and what it means for us. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Have you ever thought about your thoughts? About what or how you’re thinking? It gets real meta real fast, doesn’t it? That’s called metacognition, and humans and certain other creatures do it. But what about AI? We’re coming back to the interview with Ricky Sethi, Professor of Computer Science at Fitchburg State University, and researcher into artificial metacognition, or whether and how machines can think about thinking. Ricky’s research spans fact-checking misinformation, virtual communities, and artificial metacognition, where he focuses on designing GenAI systems that can monitor, evaluate, and regulate their own reasoning. He is Director of Research for the Madsci Network, and an Adjunct Professor at Worcester Polytechnic Institute. He has over 50 scholarly publications, and his work has been covered in outlets such as the Chicago Tribune, The Conversation, and Communications of the ACM. We conclude the interview by talking about his research into disinformation, measuring the emotions associated with it, how clusters of models in different roles could assess AIs for lying and implement AI safety, and how AI is impacting the job opportunities in research. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Have you ever thought about your thoughts? About what or how you’re thinking? It gets real meta real fast, doesn’t it? That’s called metacognition, and humans and certain other creatures do it. But what about AI? Can it think about thinking? Here to help us understand this whole thing is artificial metacognition researcher Ricky Sethi. He is Professor of Computer Science at Fitchburg State University, Director of Research for the Madsci Network, and an Adjunct Professor at Worcester Polytechnic Institute. His research spans fact-checking misinformation, virtual communities, and artificial metacognition, where he focuses on designing GenAI systems that can monitor, evaluate, and regulate their own reasoning. Is that cool or what?  Ricky has a bachelors in neurobiology and physics, an M.S. in physics/information systems, and a PhD in AI from UC Riverside. He has over 50 scholarly publications, and his work has been covered in outlets such as the Chicago Tribune, The Conversation, and Communications of the ACM. Recently, he has introduced the Metacognitive State Vector framework for quantifying key cognitive signals in ensembles of large language models. We talk about how this spans computer science, neuroscience, and psychology; System One and System Two thinking come up again, with a beautiful explanation. We also talk about testing and measuring metacognition in humans and AIs – and what about dolphins? All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Because AI touches our lives down to our core where our emotions and subconscious reside, we need to be touched with the important lessons that our fellow humans wish to communicate about AI through vehicles like art, poetry, and, in the case of today’s guest, fiction. Mark Peres is a professor, author, and civic innovator with decades of experience teaching leadership and ethics at Johnson & Wales University. He’s just published The Accord, a powerful speculative novel exploring the relationship between a philosopher and a sentient general AI, Lyla. As much as that sounds like a description of any number of sensationalist and shallow works that you and I could name, this is not in that category. I found his book remarkable for the level of maturity it granted the reader and the no-holds-barred courage with which it tackled issues of the identity of a future artificial general intelligence - which may not be so far in the future any more. We talk about why the AI character of Lyla has a true sense of identity and mortality, whether control over advanced AI is possible, principles for human–AI coexistence, what responsible use, transparency, and “cognitive autonomy” look like for today’s university students, what it means to “humanize” AI before trying to regulate it, and how to take responsibility for our future with AI. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We shouldn’t learn the important lessons of AI through just exposition, through just descriptions, explanations, lessons, and textbooks. But because AI touches our lives down to our core where our emotions and subconscious reside, we need to be similarly touched with the important lessons that our fellow humans wish to communicate about AI through art, poetry, and, in the case of today’s guest, fiction. Mark Peres is a professor, author, and civic innovator with decades of experience teaching leadership and ethics at Johnson & Wales University. He’s just published The Accord, a powerful speculative novel exploring the relationship between a philosopher and a sentient general AI, Lyla. I will say right now that whatever stereotypes that description is evoking in you right now – and god knows there are lots to choose from – I want you to throw them out. And you’ll soon see why as we talk about the big questions the story raises about consciousness, responsibility, and what we owe intelligent machines, the clash between universities, corporations, and government forces trying to control new technology, the growing role of AI as companion and confidant in everyday life, and the real-world headlines and classroom debates that inspired the book. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . In 2023 a global movement called Pause AI started, advocating for a pause in the development of powerful AI, and on the show we have its co-founder, Holly Elmore. Their website says “We call for a prohibition on the development of superintelligence, not lifted before there is broad scientific consensus that it will be done safely and controllably, and strong public buy-in.” Holly is the founder of the Pause AI US group, and has organized protests in their name. She was formerly an evolutionary biologist, with a PhD from Harvard. We conclude the interview by talking about what would actually flip public opinion on AI safety, specific AI bills and regulations, why some leaders warn about risk while accelerating anyway, whether and when it would be safe to unpause, and how you can get involved.  All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . In 2023 a global movement called Pause AI started, advocating for a pause in the development of powerful AI, and on the show we have its co-founder, Holly Elmore. Their website says “We call for a prohibition on the development of superintelligence, not lifted before there is broad scientific consensus that it will be done safely and controllably, and strong public buy-in.” Holly is the founder of the Pause AI US group, and has organized protests in their name. She was formerly an evolutionary biologist, with a PhD from Harvard. We talk about what the Pause movement stands for, overlaps with animal welfare strategies, why pausing is an effective aim and why we need it, the pros and cons of limiting AI training by compute metrics, and comparing AI safety to the airline industry. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . One of the great wounds people are experiencing around AI is in creativity. Look at the writers’ and actors’ strikes, for example. I continue talking about this very sensitive subject with Maya Ackerman, author of the new book Creative Machines: AI, Art, and Us, which tackles it head on, full of emotion, vulnerability, and poetry.  Maya is the CEO and co-founder of Wave AI, and professor of Computer Science at Santa Clara University. She completed postdoctoral fellowships at Caltech and UC San Diego, and has authored over 50 peer-reviewed publications. She was named a Woman of Influence by the Silicon Valley Business Journal and her work has been featured in Forbes, NPR, Fortune, and NBC News. She is also a singer, pianist, and songwriter. We talk about experiments in machine creativity, the distinction between creative processes and creative products and the role of the observer in the creative experience, how bias against AI shows up, and how AI that’s constructed around compassion and ethical stewardship could support deeper human flourishing in the next few years. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . One of the great wounds people are experiencing around AI is in creativity. Look at the writers’ and actors’ strikes, for example. Here to talk about this very sensitive subject is Maya Ackerman, author of the new book Creative Machines: AI, Art, and US, which tackles it head on, full of emotion, vulnerability, and poetry.  Maya is the CEO and co-founder of Wave AI, and professor of Computer Science at Santa Clara University. She completed postdoctoral fellowships at Caltech and UC San Diego, and has authored over 50 peer-reviewed publications. She was named a Woman of Influence by the Silicon Valley Business Journal and her work has been featured in Forbes, NPR, Fortune, and NBC News. She is also a singer, pianist, and songwriter. We talk about how Maya’s interdisciplinary backgrounds of machine learning and computational creativity converged in her book, what Maya calls “humble creative machines”: AI collaborators and how they can uplift us, her concept of a co-creative spectrum where humans are served by AI assisting us in being more creative, and – opera singing. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . The fear, uncertainty, and doubt around the future of work has reached epidemic proportions. We'll attempt to shed some light and provide some relief with data, questions, and informed speculation on the topic. How is the generation of content going to evolve, and what's awaiting us in robotics? Who will make the decisions about the future workplace, and what will happen to creatives in marketing and other fields? All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I am talking with José Antonio Bowen and C. Edward Watson about AI in postsecondary education, because they are authors of the new book Teaching with AI: A Practical Guide to a New Era of Human Learning. José is leader of the Bowen Innovation Group, consulting on innovation in higher education and was the 11th president of Goucher College. He has held leadership roles at Stanford, the University of Southampton, Georgetown, Miami University, and Southern Methodist University, and his book Teaching Naked reshaped conversations about technology and pedagogy. He is an international jazz pianist and edited the Cambridge Companion to Conducting. Eddie Watson is Vice President for Digital Innovation at the American Association of Colleges and Universities and is the Founding Director of their Institute on AI, Pedagogy, and the Curriculum.  He directed the Center for Teaching and Learning at the University of Georgia, and is a Fellow of the Louise McBee Institute of Higher Education. In our conclusion, we talk about the future of textbooks, José and Eddie’s meta-analysis of AI literacy frameworks and standardizing AI literacy training, the evolution of teaching models and practices like lectures, and the future of degrees themselves. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . After last week’s exploration of AI in secondary education it’s time to look at how it’s landing in the universities, and so I am talking with José Antonio Bowen and C. Edward Watson, authors of the brand new book Teaching with AI: A Practical Guide to a New Era of Human Learning. José leads the Bowen Innovation Group, consulting on innovation in higher education and was the 11th president of Goucher College. He has held leadership roles at Stanford, the University of Southampton, Georgetown, Miami University, and Southern Methodist University, and his influential book Teaching Naked reshaped conversations about technology and pedagogy. He edited the Cambridge Companion to Conducting, and is an international jazz pianist. C. Edward Watson - Eddie on our show - is Vice President for Digital Innovation at the American Association of Colleges and Universities and is the Founding Director of their Institute on AI, Pedagogy, and the Curriculum. He directed the Center for Teaching and Learning at the University of Georgia, and is a Fellow of the Louise McBee Institute of Higher Education. We talk about how students and teachers are reacting to AI, threats to jobs – particularly teaching jobs – and changes to how we work, what really matters in the practice of teaching in an AI world, cheating, changes to relationships between teachers and students and the importance of caring. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What’s going on with getting AI education into America’s classrooms? We're finding out from Jeff Riley, former Commissioner of Education for the state of Massachusetts and founder of a new organization – Day of AI, started by MIT’s Responsible AI for Social Empowerment and Education institute. And they are mounting a campaign called Responsible AI for America’s Youth, which is now running across all 50 states and will run an event called America’s Youth AI Festival in July 2026 in Boston. Jeff has got master’s degrees from Johns Hopkins and Harvard. He was a Boston school principal and as commissioner, successfully navigated Massachusetts schools through Covid and other crises. In our conclusion, we talk about how Jeff sees the AI education of teachers evolving, responsible use of AI by students, differentiated learning, making AI in classrooms safe for teachers and students, the impact of AI on educational inequalities, the future of educational reform, and how you can get involved in AI in schools.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What’s going on with getting AI education into America’s classrooms? We’re going to find out from Jeff Riley, former Commissioner of Education for the state of Massachusetts and founder of a new organization – Day of AI, started by MIT’s Responsible AI for Social Empowerment and Education institute. And they are mounting a campaign called Responsible AI for America’s Youth, which is now running across all 50 states and will run an event called America’s Youth AI Festival in July 2026 in Boston. Jeff has got master’s degrees from Johns Hopkins and Harvard. He was a Boston school principal and as commissioner, successfully navigated Massachusetts schools through Covid and other crises. We talk about what the campaign is doing and how teachers are responding to it, risks of AI and social media to kids, what to do about cheating and AI detectors, and much more! All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . It's that time to visit the - ghosts? - of AI past, present, and future, in our traditional retrospective/predictions episode. Forming the panel are Dan Turchin, CEO of PeopleReign, the AI platform automating HR and host of the “AI and the Future of Work” podcast. And Richard Foster-Fletcher, the Founder and Executive Chair of MKAI, the inclusive Artificial Intelligence Community, and leader of the MKAI Centre for Digital Trust and host of the Boundless podcast. Both have been on the show before, as guest experts and year-end panelists, and both are good friends. We'll talk about surprises from 2025, ways companies have used AI productively and ways it has been oversold, whether an AI bubble may pop next year, what'll happen next with AI slop, and how much AI may advance human progress next year and the emergence of AI nation states. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What is consciousness? That’s a profound question that many would say is unanswerable. And how could you make artificial consciousness? That’s a more profound question that many would say is impossible. We are talking with Suzanne Gildert, founder of Nirvanic, a Quantum-AI research company, who is not just talking about consciousness, she’s doing something about it. She is a prolific inventor with more than 60 US patents in quantum computing, humanoid robotics and artificial intelligence.  Suzanne has a PhD in experimental quantum physics and was the founder of two robot companies, Kindred AI, and Sanctuary AI. At Nirvanic she seeks to understand consciousness and innovate conscious AI using quantum computing. In the conclusion of our interview, we talk about how robots will use quantum computing, world models and what robots really can and can’t do right now, form factors for robots, and the connection between robot consciousness and finding our purpose in the world. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What is consciousness? That’s a profound question that many would say is unanswerable. And how could you make artificial consciousness? That’s a more profound question that many would say is impossible. Tackling both of those head-on is Suzanne Gildert, founder of Nirvanic, a Quantum-AI research company. She’s not just talking about consciousness, she’s doing something about it. She is a prolific inventor with more than 60 US patents in quantum computing, humanoid robotics and artificial intelligence.  Suzanne has a PhD in experimental quantum physics – I mean, how cool is that - and was the founder of two robot companies, Kindred AI, and Sanctuary AI. At Nirvanic she seeks to understand consciousness and innovate conscious AI using quantum computing. We talk about quantum computing and consciousness, the nature of reality and its connection to quantum physics, the Observer Effect and Schrödinger’s Box, panpsychism, the state of the art of quantum computing, quantum supremacy, the present and future of general purpose robotics, and the connection between reward functions and the consciousness of the universe. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What if artificial superintelligence - ASI - could be made both more safe and more profitable? I'm talking with Craig Kaplan, who has the website superintelligence.com, about his concept of "democratic AI." Craig is CEO and founder of iQ Company, focused on AGI and ASI. He also founded and ran PredictWallStreet, a financial services firm which used AI to power a top hedge fund.  Craig is a former visiting professor in computer science at the University of California, and earned master’s and doctoral degrees from famed robotics hub Carnegie Mellon University, where he co-authored research with the Nobel-Prize-winning economist and AI pioneer Dr. Herbert A. Simon. In part 2, we talk about rights of AIs, safe superintelligence, where AI gets its values, and how model vendors might be incentivized to put their products into the collective AI intelligence. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What if artificial superintelligence - ASI - could be made both more safe and more profitable? Returning to the show after a year is Craig Kaplan, talking about how "democratic AI" can do that. Craig, who has the website superintelligence.com, is CEO and founder of iQ Company, focused on AGI and ASI. He also founded and ran PredictWallStreet, a financial services firm which used AI to power a top hedge fund.  Craig is a former visiting professor in computer science at the University of California, and earned master’s and doctoral degrees from famed robotics hub Carnegie Mellon University, where he co-authored research with the Nobel-Prize-winning economist and AI pioneer Dr. Herbert A. Simon. We talk about democratic AI, a kind of a hive mind of AIs that combine to work together safely, and how do they talk to each other, what are they made up of, and we’ll also talk about systems for solving ethical problems.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . How should AI change democracy? That’s the topic of Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship, and I am continuing my talk with its authors. Bruce Schneier is an internationally renowned security technologist and the bestselling author of fourteen books, including Data and Goliath and A Hacker’s Mind.  Nathan Sanders is a data scientist who has served in fellowships and the Massachusetts legislature and the Berkman-Klein Center at Harvard. He writes in The New York Times and The Atlantic. We talk about whether wealthy entities might subvert the use of AI in democracy, how smaller countries are engaging with AI in government, the utility of open weight and open source models, digital twins in government, the future of surveillance, and what makes Bruce and Nathan optimistic about the future. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . How should AI change democracy? That’s the topic of Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship, and I am talking today with its authors. Bruce Schneier is an internationally renowned security technologist and the bestselling author of fourteen books, including Data and Goliath and A Hacker’s Mind. He is a lecturer at the Harvard Kennedy School, and a board member of the Electronic Frontier Foundation, and Chief of Security Architecture at Inrupt. Nathan Sanders is a data scientist researching machine learning, astrophysics, public health, environmental justice, and more. He has served in fellowships and the Massachusetts legislature and the Berkman-Klein Center at Harvard. He writes on AI and democracy in The New York Times and The Atlantic. We talk about this fascinating and scary intersection of AI and government, of AI being used in making legislation, the concept of democracy as an information system, ways AI can transform how citizens engage their governments, regulatory responses to AI from the US and around the world, and how the judicial branch can use AI.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What's really going on in classrooms with AI right now? I'm talking with Gerry White, a teacher, technologist, writer, and lifelong learner who has spent two decades at the forefront of education and technology integration. Gerry is the Dean of Academic Technology at ECPI University in Virginia and the founder of MyTutorPlus, an AI-powered tutoring platform designed to personalize education for learners of all ages. From building over 70 apps to creating immersive AR and VR experiences, his work bridges the gap between the humanities and technology. His Substack articles and books unpack the ethical, emotional, and societal consequences of AI. We talk about how cultural bias in GenAI affects the classroom, what school leadership should be doing, AI in group work, assessment, how AI might accelerate learning and augment the human experience, interactions with parents, and kids’ social uses of AI, all in the context of real experiences in school. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We're continuing to focus on AI in education because it's so pivotal to the future of the human race. What's really going on in classrooms with AI right now? We are learning that from Gerry White, a teacher, technologist, writer, and lifelong learner who has spent two decades at the forefront of education and technology integration. Gerry is the Dean of Academic Technology at ECPI University in Virginia and the founder of MyTutorPlus, an AI-powered tutoring platform designed to personalize education for learners of all ages. From building over 70 apps to creating immersive AR and VR experiences, his work bridges the gap between the humanities and technology. His Substack articles and books unpack the ethical, emotional, and societal consequences of AI. We’re going to talk about how generative AI first showed up in Gerry’s classrooms, the importance of preserving students’ voices, confronting the cheating and plagiarism problems, optimal ways of engaging students’ use of AI, and finding the unique value of humans in the workplace, all in the context of real experiences in real classes. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Students using AI to cheat on homework - or being inaccurately flagged as cheating - falls under the heading of 'academic integrity,' so I am talking with Alyson King, Professor in Political Science at Ontario Tech University in Canada, and editor of the new book, “Artificial Intelligence, Pedagogy and Academic Integrity,” containing 12 contributors’ thoughts and research on the problem of maintaining academic integrity in a world where AI can complete virtually any school assignment at a passing grade or higher.  Alyson earned her PhD in the History of Education at the University of Toronto and currently she engages in research intended to better understand student experiences and academic integrity. In her teaching, she includes topics related to Indigenous experiences and worldviews, such as Residential Schools, and has designed a course about the politics of Indigenous Rights. We’re going to talk about teachers getting to know their students’ voices, AI detectors, and the place of AI in education. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Students using AI to cheat on homework - or being inaccurately flagged as cheating - falls under the heading of 'academic integrity,' so I am talking with Alyson King, Professor in Political Science at Ontario Tech University in Canada, and editor of the new book, “Artificial Intelligence, Pedagogy and Academic Integrity,” containing 12 contributors’ thoughts and research on the problem of maintaining academic integrity in a world where AI can complete virtually any school assignment at a passing grade or higher.  Alyson earned her PhD in the History of Education at the University of Toronto and currently she engages in research intended to better understand student experiences and academic integrity. In her teaching, she includes topics related to Indigenous experiences and worldviews, such as Residential Schools, and has designed a course about the politics of Indigenous Rights. We’re going to talk about plagiarism, AI-proofing assignments, motivating students, threats to critical thinking, and much more. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We are again focusing on AI in education, because that is really where the rubber meets the road for nearly every issue in AI and where we need to get it right, because that’s where we’re training the generation that will save the world. You could be very pessimistic about that, but you can also be very optimistic about that, and one person who is optimistic is Becky Keene, an educator, author, and speaker focused on innovative teaching and learning, and author of the new book, AI Optimism, about all the good possibilities of AI in education. She specializes in instructional coaching, game-based learning, and integrating AI into education to empower students as creators. We talk about the conflict between fear and hope about AI in education, changing our focus from product to process, how to reshape education to leverage AI, what role school leadership should play, and much more. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . As we use AI more and more as a critical assistant, what might that be doing to our critical thinking? Professor Michael Gerlich has published his research in the paper “AI Tools In Society: Impacts On Cognitive Offloading And The Future Of Critical Thinking” in the journal Societies. He showed that younger participants “exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants.” That’s the sort of result that demands we pay attention at a time when AI is being increasingly used by schools and students. Michael is the Head of Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School. His research and publications largely focus on the societal impact of Artificial Intelligence, which has made him in demand as a speaker around the world. He’s also taught at the London School of Economics and Political Science, Cambridge, and other institutions. He’s also been an adviser to the President and the Prime Minister of Kyrgyzstan, the Uzbekistan Cabinet, and Ministers of economic affairs in Azerbaijan. In part 2, we talk about whether or how we can tell that our cognition has been impaired, how the future of work will change with cognitive offloading and what employers need to beware of and leverage. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . As we use AI more and more as a critical assistant, what might that be doing to our critical thinking? Professor Michael Gerlich has published his research in the paper “AI Tools In Society: Impacts On Cognitive Offloading And The Future Of Critical Thinking” in the journal Societies. He showed that younger participants “exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants.” That’s the sort of result that demands we pay attention at a time when AI is being increasingly used by schools and students. Michael is the Head of Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School. His research and publications largely focus on the societal impact of Artificial Intelligence, which has made him in demand as a speaker around the world. He’s also taught at the London School of Economics and Political Science, Cambridge, and other institutions. He’s also been an adviser to the President and the Prime Minister of Kyrgyzstan, the Uzbekistan Cabinet, and Ministers of economic affairs in Azerbaijan. We talk about “cognitive offloading” and the use of GenAI. Why is it different from using calculators, which were widely forecast to cause math skills to atrophy and were banned from schools, and we since learned better. Michael will look at how AI like the big agents that might come with workplace IT systems help or hinder in knowledge work, and consequences for on-the-job training. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ .     "The book seems to be more timely than originally anticipated."  I'm talking with Carl Benedikt Frey about his new book, How Progress Ends: Technology, Innovation, and the Fate of Nations, and its exploration of the political and economic effects of policies like tariffs and university defunding comes at a very critical time. AI is projected to have enormous economic and social impacts that call for the biggest of big picture thinking, and Frey is the co-author of the 2013 study The Future of Employment: How Susceptible Are Jobs to Computerization, which has received over 12,000 citations. He is Associate Professor of AI and Work at the Oxford Internet Institute and Director and Founder of the Future of Work Programme at the Oxford Martin School, both at the University of Oxford. His 2019 book, The Technology Trap: Capital, Labor, and Power in the Age of Automation, was selected as a Financial Times Best Book of the Year and awarded Princeton University’s Richard A. Lester Prize.   In the conclusion, we talk about the links between innovation and industry productivity, why AI hasn’t yet delivered broad gains, automation’s uneven effects on workers, the role of antitrust in sustaining competition, and the need for institutions like Oxford to adapt. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ .     "The book seems to be more timely than originally anticipated."  I'm talking with Carl Benedikt Frey about his new book, How Progress Ends: Technology, Innovation, and the Fate of Nations, and its exploration of the political and economic effects of policies like tariffs and university defunding comes at a very critical time. AI is projected to have enormous economic and social impacts that call for the biggest of big picture thinking, and Frey is the co-author of the 2013 study The Future of Employment: How Susceptible Are Jobs to Computerization, which has received over 12,000 citations. He is Associate Professor of AI and Work at the Oxford Internet Institute and Director and Founder of the Future of Work Programme at the Oxford Martin School, both at the University of Oxford. His 2019 book, The Technology Trap: Capital, Labor, and Power in the Age of Automation, was selected as a Financial Times Best Book of the Year and awarded Princeton University’s Richard A. Lester Prize.   We talk about whether progress is inevitable, how growth depends on the interplay of technology and institutions, the link between productivity and innovation, the importance of institutional flexibility and decentralized funding, the effects of tariffs, the risks of China’s increasingly centralized model, and why the US and China are both triggering declining dynamism in each other. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ .     I'm talking with Megan Peters, who researches thinking about thinking, or metacognition. She is an Associate Professor in the UC Irvine Department of Cognitive Sciences, studying how the brain represents and uses uncertainty, focusing on how these abilities support metacognitive evaluations of the quality of our decisions. She’s a Fellow in the UCI Center for the Neurobiology of Learning and Memory, the UCI Center for Theoretical Behavioral Sciences, and the Canadian Institute for Advanced Research (CIFAR) Brain Mind & Consciousness program. She’s also President and Co-founder of Neuromatch, an educational platform serving over 30,000 students in over 120 countries across computational neurosciences, deep learning, computational climate science, and neuroAI. In our conclusion, we talk about Turing Tests, measuring the brain, the Haunted Mansion, some cool experiments on brains, and… cats. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Have you ever thought about thinking? That’s called metacognition, and Megan Peters thinks about that, a lot. She is an Associate Professor in the UC Irvine Department of Cognitive Sciences, researching how the brain represents and uses uncertainty, focusing on how these abilities support metacognitive evaluations of the quality of our decisions. She’s a Fellow in the UCI Center for the Neurobiology of Learning and Memory, the UCI Center for Theoretical Behavioral Sciences, and the Canadian Institute for Advanced Research (CIFAR) Brain Mind & Consciousness program. She’s also President and Co-founder of Neuromatch, an educational platform serving over 30,000 students in over 120 countries across computational neurosciences, deep learning, computational climate science, and neuroAI. We get really meta here: talking about thinking about thinking,  how we build models of the world, how language shapes our thinking, whether AI is doing metacognition in its chains of thought, statistical learning in AIs and humans, consciousness in humans and animals and AIs, and theories of consciousness. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I am talking with neuroscientist Christof Koch, and as he says, "How is it that we, a piece of furniture of the universe like a rock or a star or a tree, can love or hate or see or hear?" What, in other words, makes us conscious, and what does that mean? He is known for his work exploring the substrate of consciousness in humans, animals, and machines and is the author of more than 350 peer-reviewed publications and five books, the latest of which is Then I Am Myself the World: What Consciousness Is and How to Expand It. A physicist and neurobiologist, he was for more than a quarter of a century a professor of biology and engineering at the California Institute of Technology in Pasadena. In 2011, he became the Chief Scientist at the Allen Institute for Brain Science in Seattle and in 2015, its president; now a Meritorious Investigator. He is also the Chief Scientist of the Tiny Blue Dot Foundation in Santa Monica, seeking to understand consciousness, its place in nature, and how this knowledge can benefit all of humanity. In part 2, we talk about a theory of consciousness that Christof is a primary researcher of: Integrated Information Theory, and tools for detecting and measuring consciousness, the magic number φ, the possibility of consciousness transfer, philosophical zombies, and neural correlates of consciousness. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . As my guest today says, "How is it that we, a piece of furniture of the universe like a rock or a star or a tree, can love or hate or see or hear?" What, in other words, makes us conscious, and what does that mean? He is the cognitive scientist Christof Koch, known for his work exploring the substrate of consciousness in humans, animals, and machines. He is the author of more than 350 peer-reviewed publications and five books, the latest of which is Then I Am Myself the World: What Consciousness Is and How to Expand It. A physicist and neurobiologist, he was for more than a quarter of a century a professor of biology and engineering at the California Institute of Technology in Pasadena. In 2011, he became the Chief Scientist at the Allen Institute for Brain Science in Seattle and in 2015, its president; now a Meritorious Investigator. He is also the Chief Scientist of the Tiny Blue Dot Foundation in Santa Monica, seeking to understand consciousness, its place in nature, and how this knowledge can benefit all of humanity. Why is an AI show interested in consciousness? Because the questions constantly arise, is AI conscious? How will we know when it is? How can or should we make it conscious? And if we can’t answer those questions for human beings, how will we answer them for anything else? We talk about the relationships between existence, identity, quantum mechanics, language, and consciousness, and cosmic consciousness, how conscious parts of your body might be, connecting brains to each other, including an example that’s already happened, and… opera. It is possibly literally mind blowing. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . "We are in the privileged - or unfortunate - situation of being the last generation of humans to be parenting AIs. All the future generations of AIs are going to be parented mainly by AIs. And so even more than with our human children and grandchildren, we have one shot at raising this next generation correctly." I am talking with De Kai, a pioneering professor of AI who built the web’s first global online language translator that spawned Google Translate and Microsoft Bing Translator, and author of new book, Raising AI: An Essential Guide to Parenting Our Future. De Kai was honored by the Association for Computational Linguistics as one of its 17 Founding Fellows and holds joint appointments at HKUST’s Department of Computer Science and Engineering and Division of Arts and Machine Creativity, and at Berkeley’s International Computer Science Institute. He is Independent Director of the AI ethics think tank The Future Society and was one of eight inaugural members of Google’s AI ethics council. So he’s helped create some of the most important mechanisms and institutions of the modern AI age. In the conclusion of our interview, we talk about how to parent AI and what that means, responsibilities of the AI companies, a kind of parent-teacher association for AI and how to get involved, and our responsibilities to the next generation. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . As AI becomes more and more powerful, what is our responsibility, collectively? I am joined by De Kai, a pioneering professor of AI who built the web’s first global online language translator that spawned Google Translate and Microsoft Bing Translator. And he has answered those questions with his new book, Raising AI: An Essential Guide to Parenting Our Future. De Kai was honored by the Association for Computational Linguistics as one of its 17 Founding Fellows and holds joint appointments at Hong Kong University of Science and Technology’s Department of Computer Science and Engineering and Division of Arts and Machine Creativity, and at Berkeley’s International Computer Science Institute. He is Independent Director of the AI ethics think tank The Future Society and was one of eight inaugural members of Google’s AI ethics council. So he’s helped create some of the most important mechanisms and institutions of the modern AI age. We talk about why we should parent AI, the existential issues that drove him to write the book, seeing AI as neuro-atypical, and the architecture and features of AI that are important to consider in how we relate to it. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Welcome to a joint episode with the London Futurists podcast, hosted by David Wood and Calum Chace, who have both been individual guests on this show in the past.  David is chair of the London Futurists and named by T3 as one of the 100 most influential people in technology. He is author of the books, “The Singularity Principles: Anticipating and managing cataclysmically disruptive technologies” and more recently, “The Death of Death.”  Calum is the author of "Surviving AI: The promise and peril of artificial intelligence," and "The Economic Singularity: Artificial intelligence and the death of capitalism." He was recently ranked sixth in a list of the world’s top futurist professionals by Global Gurus TOP30. Together, David and Calum are key players at a new company called Conscium, which describes itself as “the world’s first applied AI consciousness research organisation.” I follow every episode of the London Futurists podcast and I recommend you do too. There’s a link to it in the show notes and transcript. And if you can attend any of the London Futurists meetings, they are very useful and thought-provoking, and many of them are online and free. We are all talking together today about AI agents, AI safety and security, its effects on social cohesion and communication, and decentralization of control. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . It’s more important than ever to define just what we mean by words like intelligence, consciousness, and thinking. Here to help us is Kate Hayles, Distinguished Research Professor at UCLA and the James B. Duke Professor Emerita from Duke University. Her research focuses on the relations of literature, science and technology, and her books include Postprint: Books and Becoming Computational, Unthought: The Power of the Cognitive Nonconscious, and How We Think: Digital Media and Contemporary Technogenesis. She has fellowships from the National Endowment for the Humanities, the Guggenheim, a Rockefeller Residential Fellowship at Bellagio, and two University of California Presidential Research Fellowships, and she is a member of the American Academy of Arts and Sciences. We are focusing on her new book, Bacteria to AI:  Human Futures with our Nonhuman Symbionts, where she lays out a new theory of mind—what she calls an integrated cognitive framework—that includes the meaning-making practices of lifeforms from bacteria to plants, animals, humans, and some forms of artificial intelligence. In part 2, we talk about where meaning resides, for instance in poetry and literature, and how students’ attention span has changed and shortened as a result of multitasking or multiple information streams and how educational models need to change, how our cognitive symbiosis with AI might evolve, and markers of whether AI has consciousness, sentience, or deserves any individual rights. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . It’s more important than ever to define just what we mean by words like intelligence, consciousness, and thinking. Here to help us is Kate Hayles, Distinguished Research Professor at the University of California at Los Angeles. Her research focuses on the relations of literature, science and technology, and a new theory of mind—what she calls an integrated cognitive framework (ICF)—that includes the meaning-making practices of lifeforms from bacteria to plants, animals, humans, and some forms of artificial intelligence. That’s the topic of her new book, Bacteria to AI:  Human Futures with our Nonhuman Symbionts. A symbiont is an organism living in symbiosis with another, with a closely-coupled mutual relationship between them. Kate’s other books include Postprint: Books and Becoming Computational, Unthought: The Power of the Cognitive Nonconscious, and How We Think: Digital Media and Contemporary Technogenesis. She has many fellowships, including two University of California Presidential Research Fellowships, and is a member of the American Academy of Arts and Sciences. We talk about the relationship between cognition and consciousness, and between cognition and computation; our dependency and codependency on technology; concepts like anthropocentrism and technosymbiosis, which Kate unpacks in the service of laying out a really novel way of thinking about thinking; and whether AI is thinking, or feeling. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We get at this AI thing from many different angles: it changes us in so many ways that we're not going to understand it through just a technical discussion. So today we look at what it means to be human in the AI age through the eyes of Dagan Shani, an independent filmmaker who has focused on the risks associated with AI through movies that evoke our emotions. His documentary Don't Look Up - The Documentary: The Case for AI as an Existential Threat was described by Max Tegmark as “the most important film of the year.” Shani’s short documentary from 2024, Moloch - AI and the Deadly Force Driving Us to the Brink, and his latest film, Obsolete - Human Work in the Age of AI, both raise pressing questions about the rapid advancement of AI and its far-reaching implications. In part 2, we talk about Universal Basic Income, more about Moloch, and the Studio Ghibli incident and the future of AI-generated visual media.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We get at this AI thing from many different angles: it changes us in so many ways that we're not going to understand it through just a technical discussion. So today we look at what it means to be human in the AI age through the eyes of Dagan Shani, an independent filmmaker who has focused on the risks associated with AI through movies that evoke our emotions. His documentary Don't Look Up - The Documentary: The Case for AI as an Existential Threat was described by Max Tegmark as “the most important film of the year.” Shani’s latest film, Obsolete - Human Work in the Age of AI, raises pressing questions about the rapid advancement of AI.  We talk about Moloch, which is the legendary personification of competition that drives us to be our worst selves, and the subject of Shani’s short documentary from 2024, Moloch - AI and the Deadly Force Driving Us to the Brink. We also talk about game theory, AI hype, impact on jobs, and AI in movie making. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . How do you deal personally, and organizationally, with exponential change? That’s the subject of a new book, Super Shifts: Transforming How We Live, Learn, And Work In The Age Of Intelligence, and both of its authors are here. Dr. Ja-Naé Duane is a behavioral scientist who has worked with companies such as PWC, Saudi Aramco, AIG, and Deloitte. She is a member of the Loomis Council at the Stimson Center, collaborator with the National Institute of Health, and holds appointments at Brown University and MIT’s Center for Information Systems Research. Steve Fisher co-founded the Futures Practice at McKinsey & Company and is the Managing Partner of the consultancy Revolution Factory. At FTI Consulting, he led the adoption of Generative AI for business model transformation, and is Chief Futurist at the Human Frontier Institute. Together, they have previously authored the bestseller The Startup Equation. In the conclusion of the interview, we’re going to talk about Asimov’s Laws of Robotics, AI’s future enhancements to our lives, the different new species of humans that will emerge, and how the educational system needs to evolve. Steve and Ja-Naé have extended a special offer to the listeners of this show, to get two chapters of their book free via this link. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . How do you deal personally, and organizationally, with exponential change? That’s the subject of a new book, Super Shifts: Transforming How We Live, Learn, And Work In The Age Of Intelligence, and both of its authors are here. Dr. Ja-Naé Duane is a behavioral scientist who has worked with companies such as PWC, Saudi Aramco, AIG, and Deloitte. She is a member of the Loomis Council at the Stimson Center, collaborator with the National Institute of Health, and holds appointments at Brown University and MIT’s Center for Information Systems Research. Steve Fisher co-founded the Futures Practice at McKinsey & Company and is the Managing Partner of the consultancy Revolution Factory. At FTI Consulting, he led the adoption of Generative AI for business model transformation, and is Chief Futurist at the Human Frontier Institute. Together, they have previously authored the bestseller The Startup Equation. This week, we’re going to talk about what shaped their careers in this work, the definition of a super shift and how people react to them over different timescales, human patterns of change, how a family might be dealing with all this in 15 years, and… opera. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What does the ideal integration of humans and technology look like in business in the future? Nada Sanders calls that a “Humachine.” She is a thought leader and expert in forecasting and human-technology integration, has an MBA and a PhD in supply chain management, and is an expert in digital transformation. She is author of seven books, including The Humachine: Humankind, Machines, and the Future of Enterprise, and is a Fellow of the Decision Sciences Institute. In 2022 she was awarded the prestigious Robert D. Klein Lecturer Award by Northeastern University. In part 2, we talk about intentionality, integration, implementation, and indication, what to digitize in digital transformation, KPIs and other indicators of success in an AI-first business, and how culture needs to shift in the enterprise. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What does the ideal integration of humans and technology look like in business in the future? Nada Sanders calls that a “Humachine.” She is a thought leader and expert in forecasting and human-technology integration, has an MBA and a PhD in supply chain management, and is an expert in digital transformation. She is author of seven books, including The Humachine: Humankind, Machines, and the Future of Enterprise, and is a Fellow of the Decision Sciences Institute. In 2022 she was awarded the prestigious Robert D. Klein Lecturer Award by Northeastern University. In part 1, Nada defines the Humachine, and we talk about the ideal relationship between humans and AI, Kasparov’s Law, what skills have atrophied in the younger workforce, how software jobs are changing, and where to set the boundary between AI assistants and human assistants. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . I am talking with Drs. Emily Bender and Alex Hanna, authors of the upcoming book, The AI Con: How to Fight Big Tech's Hype and Create the Future We Want, and also co-hosts of the live podcast Mystery AI Hype Theater 3000. Emily is well known for coining the term “stochastic parrots” in a 2021 paper as a label for generative AI. She is a linguistics professor and director of the Computational Linguistics Laboratory at the University of Washington and was among the inaugural Time AI 100. Alex is a sociologist who looks at how the data that fuels AI technologies exacerbates racial, gender, and class inequality. She is Director of Research at the Distributed AI Research Institute and a Senior Fellow at the Center for Applied Transgender Studies. In part 2, we talk about the dangers of uncritical naming, anthropomorphizing, Luddites and bespoke crafting, the effects of synthetic content on interpersonal communications, capitalism, and collective action strategies.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . When people take a unipolar position that AI is going to be wonderful, or terrible, or inconsequential, they end up painting themselves into a corner where that’s the only story they can allow themselves to express, and that obscures the truth. So for us to do our due diligence in exploring the dimensions of AI, today I am talking with Drs. Emily Bender and Alex Hanna, authors of the upcoming book, The AI Con: How to Fight Big Tech's Hype and Create the Future We Want, and also co-hosts of the live podcast Mystery AI Hype Theater 3000. Emily is well known for coining the term “stochastic parrots” in a 2021 paper as a label for generative AI. She is a linguistics professor and director of the Computational Linguistics Laboratory at the University of Washington and was among the inaugural Time AI 100. Alex is a sociologist who looks at how the data that fuels AI technologies exacerbates racial, gender, and class inequality. She is Director of Research at the Distributed AI Research Institute and a Senior Fellow at the Center for Applied Transgender Studies. In part 1, we talk about their intentions with the book, cycles of hype and the effects of hype, the dangers of uncritical use of LLMs, “Slow Science”, and academic institutional culture.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . How to manage the integration of AI at scale into the enterprise is the territory of today's guest, Diane Gutiw, Vice President and leader of the AI research center at the global business consultancy CGI. She holds a PhD in Medical Information Technology Management and has led collaborative strategy design and implementation planning for advanced analytics and AI for large organizations in the energy and utilities, railway, and government healthcare sectors.  In part 2, we talk about synthetic data, digital triplets, agentic AI and continuous autonomous improvement, and best practices for compliance.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . How to manage the integration of AI at scale into the enterprise is the territory of today's guest, Diane Gutiw, Vice President and leader of the AI research center at the global business consultancy CGI. She holds a PhD in Medical Information Technology Management and has led collaborative strategy design and implementation planning for advanced analytics and AI for large organizations in the energy and utilities, railway, and government healthcare sectors.  We talk about how enterprises manage the integration of AI at the dizzying speeds of change today, where AI does and does not impact employment, how the HR department should change in those enterprises, how to deal with hallucinations, and how to manage the risks of deploying generative AI in customer solutions.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We're talking about catastrophic risks, something that can be depressing for people who haven’t confronted these things before, and so I have had to be careful in talking about those with most audiences. Yet the paradox is that the more you do look at those risks, the more that effect fades, and that’s a good thing, because my guest today is someone who takes on the onerous task of thinking about and doing something about those risks every day. Seth Baum is the co-founder and Executive Director of the Global Catastrophic Risks Institute in New York, which has tackled the biggest of big problems since 2011. He is also a research affiliate at the Cambridge Centre for the Study of Existential Risk. He’s authored papers on pandemics, nuclear winter, and notably for our show, AI. We talk about national bias in models, coherent extrapolated volition – like, what is it – the risks inherent in a world of numerous different models, and using AI itself to solve some of these problems. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We're talking about catastrophic risks, something that can be depressing for people who haven’t confronted these things before, and so I have had to be careful in talking about those with most audiences. Yet the paradox is that the more you do look at those risks, the more that effect fades, and that’s a good thing, because my guest today is someone who takes on the onerous task of thinking about and doing something about those risks every day. Seth Baum is the co-founder and Executive Director of the Global Catastrophic Risks Institute in New York, which has tackled the biggest of big problems since 2011. He is also a research affiliate at the Cambridge Centre for the Study of Existential Risk. He’s authored papers on pandemics, nuclear winter, and notably for our show, AI. We talk about how it feels to work on existential threats every day, AI as a horizontal risk as well as a vertical one, near-term value versus long-term value, AI being used to change the decisions of populations or voting blocs, and AI as a dual-use technology. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . AI will transform customer service. Large language models will provide superior customer interaction, whether by web or by telephone. They’ll answer instantly, always be polite and full of energy, talk with the customer in every known language, make all the information that the customer wants out of the company personalized and accessible to that customer. All of this is provably achievable. So where is it? Has your customer service experience gotten better as a result of AI being added... or worse? I dig into that question on this special episode. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . What if… aliens came to visit the Earth? And what does that have to do with AI? I’ve deconstructed two of my TEDx talks on this show, but before both of those I did one in 2017, and here I take that one apart. Why didn’t I do this before? It seemed a bit… out there. Too sensationalist. Making claims that were too extravagant. But when I was looking at it again recently, I thought, we’ve actually caught up with what I was saying there, those ideas are more acceptable than they were in 2017. So I thought this was a good time to see how it’s aged and how on point it is. I’ll go through it, give a commentary. I'll talk about the dichotomy of AI's existential promise vs peril, what it could mean for jobs, the motivations to create general AI, and the part we all play in establishing the values of what will become tomorrow's artificial superintelligences, and examine the interesting ways these narratives have changed in the last 8 years. Plus, aliens. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . In this special episode we are focused on the military use of AI, and making it even more special, we have not one guest but nine: Peter Asaro, co-founder and co-chair of the International Committee for Robot Arms Control; Stuart Russell, Computer Science professor at UC Berkeley, renowned co-author of the leading text on AI, and influential AI Safety expert; Frank Sauer, head of research at the Metis Institute for Strategy and Foresight and member of the International Committee for Robot Arms Control; Tony Gillespie, author of Systems Engineering for Ethical Autonomous Systems, and a fellow in avionics and mission systems in the UK’s Defence Science and Technology Laboratory; Rajiv Malhotra, author of  “Artificial Intelligence and the Future of Power: 5 Battlegrounds.” and Chairman of the Board of Governors of the Center for Indic Studies at the University of Massachusetts; David Brin, scientist and science fiction author famous for the Uplift series and Earth; Roman Yampolskiy, Associate Professor of Computer Science at the University of Louisville in Kentucky and author of AI: Unexplainable, Unpredictable, Uncontrollable; Jaan Tallinn, founder of Skype and billionaire funder of the Centre for the Study of Existential Risk and the Future of Life Institute; Markus Anderljung, Director of Policy and Research at the Centre for the Governance of AI; I've collected together portions of their appearances on earlier episodes of this show to create one interwoven narrative about the military use of AI. We talk about autonomy, killer drones, ethics of hands-off decision making, treaties, the perspectives of people and countries outside the major powers, risks of losing control, data center monitoring, and more.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . The use of generative AI in legal practice has been in the news since lawyers filed briefs written by AI that contained completely fictional citations. But AI has moved past those faux pas to be of real benefit, used by some judges in writing their decisions. Here with his finger on that pulse is Adam Unikowsky, partner in the Appellate & Supreme Court practice group at Jenner & Block in Washington, DC.  He handles cases in numerous subject matter areas, including administrative law, and patent law.  He has argued 12 cases in the U.S. Supreme Court, as well as numerous cases in federal courts of appeals, federal district courts, and state supreme courts. He writes a newsletter on AI in law and other legal issues. Adam graduated from Harvard Law School and clerked for Justice Antonin Scalia. We talk about how AI could litigate or even judge cases, and whether it should, how it can emulate specific judges, the current uptake, reliability, and reputation of AI in the legal profession, the best ways to use AI in litigation and what’s driving its adoption, something AI can do that humans can’t, how politics comes in, the future roles of litigators and AI’s effects on the apprenticeship of lawyers, AI in the appellate system, and upcoming innovation in AI and the law.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . My guest has fundamentally reshaped the landscape of digital technology. Your experience of the Internet owes a large part of its identity to Tim O’Reilly, the founder, CEO, and Chairman of O’Reilly Media, the company that has been providing the picks and shovels of learning to the Silicon Valley gold rush for the past thirty-five years, a platform that has connected and informed the people at ground zero of the online revolution since before there was a World Wide Web, through every medium from books to blogs. And the man behind that company has catalyzed and promoted the great thought movements that shaped how the digital world unfolded, such as Open Source, the principle of freedom and transparency in sharing the code that makes up the moving parts of that world, notably through the Open Source Conference which was like Woodstock for developers and ran from the beginning of that era for many years and which I personally presented at many times. Named by Inc. magazine as the “Oracle of Silicon Valley,” Tim created the term “Web 2.0” to denote the shift towards the era where users like you and me participate by creating our own content, which turned into social media and which is now just part of the digital water we swim in. His 2017 book, WTF: What’s the Future and Why It’s Up to Us explores the technological forces on our world and how to harness them for a better future. We talk about the effects of generative AI on our work processes, what AI does to the value model of accessing information, meme stocks in the new economy, AGI, and preference alignment and market influencing leading to collective intelligence. Really. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . My guest has fundamentally reshaped the landscape of digital technology. Your experience of the Internet owes a large part of its identity to Tim O’Reilly, the founder, CEO, and Chairman of O’Reilly Media, the company that has been providing the picks and shovels of learning to the Silicon Valley gold rush for the past thirty-five years, a platform that has connected and informed the people at ground zero of the online revolution since before there was a World Wide Web, through every medium from books to blogs. And the man behind that company has catalyzed and promoted the great thought movements that shaped how the digital world unfolded, such as Open Source, the principle of freedom and transparency in sharing the code that makes up the moving parts of that world, notably through the Open Source Conference which was like Woodstock for developers and ran from the beginning of that era for many years and which I personally presented at many times. Named by Inc. magazine as the “Oracle of Silicon Valley,” Tim created the term “Web 2.0” to denote the shift towards the era where users like you and me participate by creating our own content, which turned into social media and which is now just part of the digital water we swim in. His 2017 book, WTF: What’s the Future and Why It’s Up to Us explores the technological forces on our world and how to harness them for a better future. We talk about intellectual property rights in the generative AI era – Taylor Swift will make an appearance again - and Tim’s conversations with Sam Altman, parallels with the evolution of Linux, comparing incentives with social media, the future of content generating work, and opportunities for entrepreneurial flowering. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . How do our brains produce thinking? My guest is an expert in cognitive neuroscience, the field that aims to answer that question. Paul Reber is professor of psychology at Northwestern University, Director of Cognitive and Affective Neuroscience, and head of the Brain, Behavior, and Cognition program, focusing on human memory—how the brain encodes, stores, and retrieves information. With a PhD from Carnegie Mellon, his work has been cited over 6,000 times. He has served as Associate Editor for the journal Cortex and contributed to NIH review panels. His recent projects explore applications of memory science in skill training and cognitive aging. If we want to build AI that reproduces human intelligence, we need to understand that as well as possible. In part 2, we talk about how to memorize something like a TED talk, the difference between human and computer memory, how humans make memories more resilient, catastrophic interference, and just how big is the human brain and can we fill it up? All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . How do our brains produce thinking? My guest is an expert in cognitive neuroscience, the field that aims to answer that question. Paul Reber is professor of psychology at Northwestern University, Director of Cognitive and Affective Neuroscience, and head of the Brain, Behavior, and Cognition program, focusing on human memory—how the brain encodes, stores, and retrieves information. With a PhD from Carnegie Mellon, his work has been cited over 6,000 times. He has served as Associate Editor for the journal Cortex and contributed to NIH review panels. His recent projects explore applications of memory science in skill training and cognitive aging. If we want to build AI that reproduces human intelligence, we need to understand that as well as possible. In part 1, we talk about distinguishing neuroscience from cognitive neuroscience, the physical structure of the brain, how we learn physical skills, comparing the brain to AI, and foundational problems in neuroscience. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . On the recent wrap-up/predictions panel we had so much fascinating discussion about AI in religion with panelist Beth Singler that I said we should have her back on the show by herself to talk about that, so here she is! Beth is the Assistant Professor in Digital Religions and co-lead of the Media Existential Encounters and Evolving Technology Lab at the University of Zurich, where she leads projects on religion and AI. As an anthropologist, her research addresses the human, religious, cultural, social, and ethical implications of developments in AI and robotics.  She received the 2021 Digital Religion Research Award from the Network for New Media, Religion, and Digital Culture Studies. Her popular science communication work includes a series of award-winning short documentaries on AI. She is co-editor of the Cambridge Companion to Religion and AI, and author of Religion and AI: An Introduction, both published last year.  In part 2, we talk about Roko’s Basilisk, which is a concept that changes your life the moment you find out what it is, experiences of AI saying that it’s a God, the reverse Garland test (that’s based on ex Machina), simulation theories starting with Plato’s Cave, more chatbot priests, how Beth does research, and… Battlestar Galactica. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . On the recent wrap-up/predictions panel we had so much fascinating discussion about AI in religion with panelist Beth Singler that I said we should have her back on the show by herself to talk about that, so here she is! Beth is the Assistant Professor in Digital Religions and co-lead of the Media Existential Encounters and Evolving Technology Lab at the University of Zurich, where she leads projects on religion and AI. As an anthropologist, her research addresses the human, religious, cultural, social, and ethical implications of developments in AI and robotics.  She received the 2021 Digital Religion Research Award from the Network for New Media, Religion, and Digital Culture Studies. Her popular science communication work includes a series of award-winning short documentaries on AI. She is co-editor of the Cambridge Companion to Religion and AI, and author of Religion and AI: An Introduction, both published last year.  In part 1, we talk about why religion and AI is a thing and what its dimensions are, the influence of science fiction, tropes like End Times, AI used in religious roles, and the Singularity. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Continuing our exploration of AI in education, I am joined by Nick Potkalitsky, founder of Pragmatic AI Solutions and co-author of AI in Education: A Roadmap For Teacher-Led Transformation. With a doctorate in narrative and rhetorical studies, he leads AI curriculum integration at The Miami Valley School and develops pioneering AI literacy programs. His Substack “Educating AI” offers curriculum guidance and expert insights. We talk about how AI has landed emotionally for teachers, whether there’s a generational divide in the different reactions teachers have had to AI, how students are using AI tools and the homework problem, the changing landscape of policies in schools, how university requirements are evolving, and the teacher-led transformation of education that Nick foresees. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Virtually every issue around AI – pro, con, in-between – is reflected in education right now. And teachers are on the front lines of this disruption. So it’s especially important that UNESCO – that’s the United Nations Educational, Scientific, and Cultural Organization - has developed an AI Competency Framework for Teachers, and here to talk about that and his other work is the co-author of that framework, Mutlu Cukurova, professor of Learning and Artificial Intelligence at University College London. He investigates human-AI complementarity in education, aiming to address the pressing socio-educational challenge of preparing people for a future with AI systems that will require a great deal more than the routine cognitive skills currently prized by many education systems and traditional approaches to automation with AI. He is part of UCL's Grand Challenges on Transformative Technologies group, was named in Stanford’s Top 2% Scientists List, and is editor of the British Journal of Educational Technology and Associate Editor of the International Journal of Child-Computer Interaction. In part 2, we talk about how the competency framework helps teachers use large language models, intelligent tutoring systems, the distinctions between human and machine intelligence, how to find the place to be human in a world of expanding AI capabilities, and the opportunities for teachers in this world. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Virtually every issue around AI – pro, con, in-between – is reflected in education right now. And teachers are on the front lines of this disruption. So it’s especially important that UNESCO – that’s the United Nations Educational, Scientific, and Cultural Organization - has developed an AI Competency Framework for Teachers, and here to talk about that and his other work is the co-author of that framework, Mutlu Cukurova, professor of Learning and Artificial Intelligence at University College London. He investigates human-AI complementarity in education, aiming to address the pressing socio-educational challenge of preparing people for a future with AI systems that will require a great deal more than the routine cognitive skills currently prized by many education systems and traditional approaches to automation with AI. He is part of UCL's Grand Challenges on Transformative Technologies group, was named in Stanford’s Top 2% Scientists List, and is editor of the British Journal of Educational Technology and Associate Editor of the International Journal of Child-Computer Interaction. We talk about the role of UNESCO with respect to AI in education, societal and ethical issues of large language models in developing countries, the types of competencies assessed in classrooms that are affected by AI, what the AI Competency Framework for Teachers is, and how to use it. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Few institutions are under as much pressure today as journalism and news publishing, and AI features squarely in the middle of those pressures. Disinformation, social media, automated news generation, the list goes on; we’re talking about the fabric of our information society. Here to help us understand these issues is Neil Brown, former editor and vice president of the Tampa Bay Times while they won six Pulitzers, and president of the Poynter Institute for Media Studies. For over 50 years Poynter has trained journalists and protected the ethical standards of the industry through mechanisms like the International Fact-Checking Network and the Craig Newmark Center for Ethics and Leadership. Neil spent four decades as a journalist, launched PolitiFact.com, and was co-chair of the Pulitzer Prize Board. His mission is to strengthen democracy and confront society's most complex problems by improving the value of journalism and increasing media literacy, so we are very fortunate to have him on the show to field my challenging questions! We talk about the use of AI in journalism, in writing stories, its effect on our writing standards, different levels of stories in journalism, and the potential use of AI in interactive news publishing. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Few institutions are under as much pressure today as journalism and news publishing, and AI features squarely in the middle of those pressures. Disinformation, social media, automated news generation, the list goes on; we’re talking about the fabric of our information society. Here to help us understand these issues is Neil Brown, former editor and vice president of the Tampa Bay Times while they won six Pulitzers, and president of the Poynter Institute for Media Studies. For over 50 years Poynter has trained journalists and protected the ethical standards of the industry through mechanisms like the International Fact-Checking Network and the Craig Newmark Center for Ethics and Leadership. Neil spent four decades as a journalist, launched PolitiFact.com, and was co-chair of the Pulitzer Prize Board. His mission is to strengthen democracy and confront society's most complex problems by improving the value of journalism and increasing media literacy, so we are very fortunate to have him on the show to field my challenging questions! We talk about pressures on news organizations, the evolution of the relationship between journalism and publishing, how revenue models are changing, the impact and use of AI or psychometric analysis tools, and much more. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . In our last episode of 2024, we have our traditional end of year retrospective/prediction episode. We’ll be taking a look back over the year just ending and forward to 2025, but we’re not going to focus on technology, when GPT-5 is going to drop, etc. The space is already stuffed full of that sort of thing. We’re going to look at the time through an anthropological lens, for which I am rejoined by two former guests, anthropologist Beth Singler, who was in episodes 38 and 39, and philosopher John Zerilli, who was in episodes 78 and 79. Beth is Assistant Professor in Digital Religion(s) and co-lead of the Media Existential Encounters and Evolving Technology Lab at the University of Zurich, where she leads projects on religion and AI. Her most recent books are Religion and Artificial Intelligence and The Cambridge Companion to Religion and Artificial Intelligence. John is a Lecturer at the University of Edinburgh, with a PhD in cognitive science and philosophy, and carrying out research at the universities of Oxford and Cambridge. His most recent book, A Citizen’s Guide to Artificial Intelligence, was published in 2021. We consider how AI has been reshaping public narratives and attitudes over questions like job replacement, creativity, education, law, and religion. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Here to give us insights into some of the really cool stuff Google DeepMind is doing is Alexandra Belias, Head of product policy & partnerships. She serves as a bridge between DeepMind’s product policy organization and the policy community. She previously led their international public policy work. She has an MPA in Economic Policy from LSE and is currently a tech fellow at the Harvard Carr Center for Human Rights. We talk about Google DeepMind's science policy, the emerging network of national AI safety institutes, the tension between regulation and innovation, AlphaFold and its successors, AlphaMissense and AlphaProteo, their SynthID watermarking detection tool, reducing contrail pollution through AI, and safety frameworks for frontier AI. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . It's tough enough being a teacher in the AI age, so can you imagine what it's like training the teachers themselves? That's what Dwayne Wood, Associate Professor at National University of San Diego does. He is the Academic Program Director for the Educational Technology Master’s program there, so he’s front and center of the question of how teachers deal with AI in the classroom and has been working on addressing the current shortage of teachers. We talk about the possible impact of AI on essential learning skills, the difference between technical and tactical competence, the in-person educational experience, and how Dwayne sees things changing in the next year. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . It's tough enough being a teacher in the AI age, so can you imagine what it's like training the teachers themselves? That's what Dwayne Wood, Associate Professor at National University of San Diego does. He is the Academic Program Director for the Educational Technology Master’s program there, so he’s front and center of the question of how teachers deal with AI in the classroom and has been working on addressing the current shortage of teachers. We talk about the relationships between teachers and students, the shifting base of fundamental skills in an AI world, the skills needed by instructional designers, how to teach effective and safe use of generative AI, and how to place the guardrails around learners using it. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We are going big on the show this time, with astrophysicist J. Craig Wheeler,  Samuel T. and Fern Yanagisawa Regents Professor of Astronomy, Emeritus, at the University of Texas at Austin, and author of the book The Path to Singularity: How Technology will Challenge the Future of Humanity, released on November 19. He is a Fellow of the American Physical Society and Legacy Fellow of the American Astronomical Society, has published nearly 400 scientific papers, authored both professional and popular books on supernovae, and served on advisory committees for NSF, NASA, and the National Research Council. His new book, spanning the range of technologies that are propelling us towards singularity from robots to space colonization, has a foreword by Neil DeGrasse Tyson, who says, “The world is long overdue for a peek at the state of society and what its future looks like through the lens of a scientist. And when that scientist is also an astrophysicist, you can guarantee the perspectives shared will be as deep and as vast as the universe itself.” We talk about the evolution of homo sapiens, high reliability organizations, brain computer interfaces, and transhumanism among other topics. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We're extending the conversation about AI in education to the front lines in this episode, with four very experienced and credentialed educators discussing their experiences and insights into AI in schools. Jose Luis Navarro IV is the leading coach and consultant at the Navarro Group. He previously served as a Support Coordinator, leading innovative reforms in the Los Angeles Unified School District. Zack Kleypas is Superintendent of Schools in Thorndale, Texas, and named 2023 Texas Secondary Principal of the Year by the Texas Association of Secondary School Principals. Jeff Austin is a former high school teacher and principal who now works as a coach for Teacher Powered Schools and Los Angeles Education Partnership. And Jose Gonzalez, Chief Technology Officer for the Los Angeles County Office of Education and former Vice Mayor of the city of Cudahy near Los Angeles. In the conclusion, we talk about whether students need to read as much as they used to now they have AI, fact checking, some disturbing stories about the use of AI detectors in schools, where the panel sees these trends evolving to, what they’re doing to help students learn better in an AI world, and… Iron Man. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . We're extending the conversation about AI in education to the front lines in this episode, with four very experienced and credentialed educators discussing their experiences and insights into AI in schools. Jose Luis Navarro IV is the leading coach and consultant at the Navarro Group. He previously served as a Support Coordinator, leading innovative reforms in the Los Angeles Unified School District. Zack Kleypas is Superintendent of Schools in Thorndale, Texas, and named 2023 Texas Secondary Principal of the Year by the Texas Association of Secondary School Principals. Jeff Austin is a former high school teacher and principal who now works as a coach for Teacher Powered Schools and Los Angeles Education Partnership. And Jose Gonzalez, Chief Technology Officer for the Los Angeles County Office of Education and former Vice Mayor of the city of Cudahy near Los Angeles. We talk about how much kids were using GenAI without our knowing, how to turn GenAI in schools from a threat to an opportunity, the issue of cheating with ChatGPT, the discrepancy between how many workers are using AI and how many teachers are using it, how rules get made, confirmation bias and AI, using tools versus gaining competencies, and whether teachers will quit. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Digital Humanities sounds at first blush like a contradiction of terms: the intersection of our digital, technology-centric culture, and the humanities, like arts, literature, and philosophy. Aren't those like oil and water? But my guest illustrates just how important this discipline is by illuminating both of those fields from viewpoints I found fascinating and very different from what we normally encounter. Professor Caroline Bassett is the first Director of Cambridge Digital Humanities, an interdisciplinary research center in Cambridge University. She is a Fellow of Corpus Christi College and researches digital technologies and cultural change with a focus on AI. She co-founded the Sussex Humanities Lab and at Cambridge she inaugurated the Masters of Philosophy in Digital Humanities and last month launched the new doctoral programme in Digital Humanities. In the conclusion, we talk about how technology shapes our psychology, how it enables mass movements, science fiction, the role of big Silicon Valley companies, and much more. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.

This and all episodes at: https://aiandyou.net/ . Digital Humanities sounds at first blush like a contradiction of terms: the intersection of our digital, technology-centric culture, and the humanities, like arts, literature, and philosophy. Aren't those like oil and water? But my guest illustrates just how important this discipline is by illuminating both of those fields from viewpoints I found fascinating and very different from what we normally encounter. Professor Caroline Bassett is the first Director of Cambridge Digital Humanities, an interdisciplinary research center in Cambridge University. She is a Fellow of Corpus Christi College and researches digital technologies and cultural change with a focus on AI. She co-founded the Sussex Humanities Lab and at Cambridge she inaugurated the Masters of Philosophy in Digital Humanities and last month launched the new doctoral programme in Digital Humanities. In part 1 we talk about what digital humanities is, how it intersects with AI, what science and the humanities have to learn from each other, Joseph Weizenbaum and the reactions to his ELIZA chatbot, Luddites, and how passively or otherwise we accept new technology. Caroline really made me see in particular how what she calls "technocratic rationality," a way of thinking borne out of a technological culture accelerated by AI, reduces the novelty which we can experience in the world in a way we should certainly preserve. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.