RegulatingAI Podcast: Innovate Responsibly

The Public Built the AI Boom. What Does It Owe Us? | Sandra Wachter

AI is powered by more than algorithms. Public money, data, land, water, and electricity help fuel its rise. So should society get something back? On the Regulating AI Podcast, Sanjay Puri speaks with Oxford Professor Sandra Wachter about AI liability, the EU AI Act, enforceable regulation, and why AI governance must go beyond preventing harm to delivering genuine public benefit. If society helps build AI, shouldn’t society share in its rewards?

The AI Boom vs. the Neighborhood: Who Bears the Cost?

America’s AI ambitions are colliding with local realities. From power lines and noise pollution to community resistance and investor risk, this discussion explores why building data centers is becoming about more than infrastructure. Recorded live at the Powering the AI Decade Data Center Forum in Virginia, experts examine how developers can earn public trust, navigate political uncertainty, and build the infrastructure AI needs without leaving communities behind.

AI on the Ballot: Is Data Center Backlash Becoming a Political Liability?

As data centers multiply and electricity bills climb, America’s AI boom is facing a new challenge: public opinion. Recorded live at the Powering the AI Decade Data Center Forum in Virginia, lawmakers and policy experts unpack the growing political backlash, community resistance, Big Tech accountability, and the stakes for the US midterm elections. Can America win the AI race without losing public trust?

Who Pays for the AI Boom? The Battle Over America’s Electricity Bills

AI data centers are consuming more power—but should households pay the price? Recorded live at the Powering the AI Decade Data Center Forum in Virginia, this discussion unpacks the high-stakes battle over electricity costs, grid investments, regulatory accountability, and consumer protection. As America races to power its AI future, one question looms large: who pays, who profits, and who carries the risk?

Permission to Build: Who Controls America’s AI Infrastructure?

Who gets to decide where AI data centers go—and who foots the bill? Recorded live at the Powering the AI Decade Data Center Forum in Virginia, lawmakers debate community consent, rising electricity costs, environmental accountability, and America’s AI ambitions. A timely conversation about the politics, power, and public interest shaping the infrastructure race.

AI’s future depends on more than computing power. From grid constraints and community resistance to energy innovation and policy reform, industry and policy leaders explore the infrastructure challenge shaping America’s AI ambitions. Recorded live at the Powering the AI Decade Data Center Forum in Tysons, Virginia, this conversation examines what it will take to power the next era of AI.

In Episode 5 of AI on the Ballot, Congressman Ted Lieu, Professor Aziz Huq, and Ben Winters tackle the urgent question: who really governs AI in America? With Congress yet to pass a comprehensive federal AI law, states like Colorado and New York have stepped in — only to face federal pushback. This episode explores the battle between state and federal AI regulation, the risks of deepfakes and AI fraud, and the national security stakes in the U.S.–China tech race.

From consumer protection to catastrophic risk, from data centers to civil rights, our guests reveal how AI touches every aspect of democracy and daily life. Learn why “patchwork laws” may be more myth than reality, how industry lobbyists shape the debate, and what voters

should demand from their representatives. Essential viewing for policymakers, technologists, and engaged citizens tracking the future of AI governance, innovation, and democracy in the United States.

Ohio might be the most important state in America for understanding how AI is reshaping politics — and Congressman Greg Landsman doesn't hold back on why.

In Episode 4 of AI on the Ballot, hosts Bennett Iorio and Sanjay Puri go deep on Ohio — a state where data centers, electricity costs, manufacturing job losses, and a total absence of AI regulation are all colliding in the same election cycle. They're joined by Rep. Greg Landsman (D-OH-01), a member of the House Energy and Commerce Committee, for a wide-ranging conversation on what accountability for Big Tech should actually look like.

In this episode:

00:00Episode starts

01:17Why a conversation on Ohio matters

10:04Rep. Greg Landsman joins

10:44Ohio's tax breaks

13:04The White House ratepayer pledge vs. Landsman's legislation

13:55Manufacturing jobs and the automation threat

18:45Does AI really create more jobs than it destroys?

24:24Should Ohio regulate AI on its own?

26:12AI, deepfakes, and disclosure in Ohio elections

29:50Landsman's pitch for a federal AI regulatory body

32:07The one question every Ohio voter should ask

34:16Bennett and Sanjay debrief the conversation

This is AI on the Ballot, a weekly series exploring the 2026 US midterms through the lens of AI policy — state by state, race by race. New episodes every week. Watch the full series on the RegulatingAI YouTube channel and listen on all major podcast platforms.

#AIOnTheBallot#Ohio#GregLandsman#GreatAmericanAIAct#DataCenters#AIPolicy#Midterms2026#RegulatingAI

AI on the Ballot is a non-partisan program of Regulating AI, a 501(c)(3) organization. Appearances do not constitute an endorsement.

This program is produced in association with the GIE Foundation.

In Episode 3 of AI on the Ballot, we go inside the Colorado race. On the record. Non-partisan. With the candidates and voices shaping how Colorado answers the questions every state is now facing: Who pays for the AI economy? Who regulates it? And what happens to Colorado workers as the technology reshapes the economy?

00:00-01:39: Intro

01:39-03:57Colorado AI Landscape

04:36-06:56Tech Infrastructure Funding

07:13-09:37Data Tariff Conflicts

09:45-10:56Local Job Growth

10:56-11:46Long-Term Employment Risks

12:47-15:07Policy Leadership Role

15:08-19:14Workforce Education Prep

19:15-22:45Education System Responsibility

22:58-26:35State AI Regulation

27:09-29:01Federal Versus State

29:15-32:17Mitigating AI Harms

32:40- 35:36 Inaction by Federalists

35:58 - 38:48 Election Disclosure Laws

38:52 - 40:57 Political Disinformation Rules

41:30 - 42:15 Voter AI Awareness

42:16 - 46:02 Key Candidate Questions

46:03 - 47:47 Future Legislative Priorities

#aiontheballot#elections#colorado#politics#aieconomy

Maine just banned data center construction statewide. More than 30 states have introduced 300+ data center bills in 2026. Washington and the states are at war over who gets to write the rules on AI. And underneath it all, AI is already shaping what voters read, believe, and decide heading into the midterms.

In Episode 2 of AI on the Ballot, host Bennett Aiorio (founder of the GIE Foundation) and co-host Sanjay dig into the four fights driving AI onto the ballot: energy and data centers, state vs. federal regulation, jobs and worker displacement, and the information environment itself.

Joining the conversation are two guests who cover the whole terrain:

Eric Goldman — Associate Dean and Professor at Santa Clara University School of Law, and one of America's leading authorities on Section 230. He makes the case for giving generative AI room to grow, why he's skeptical of state-by-state regulation, and what a "Section 230 for AI" might look like.

Wendell Wallach — bioethicist, UN AI governance advisor, and author of A Dangerous Master, often called the "godfather of AI ethics." He unpacks the real costs of data centers, his skepticism toward the AGI-and-China race narrative, UBI, deepfakes in elections, and where AI's genuine upside lies.

🎧 Subscribe and follow so you don't miss an episode of AI on the Ballot.

#AIontheBallot#AIRegulation#DataCenters#Section230#AIPolicy#Deepfakes#AIEthics#Midterms2026

Here’s a tighter Spotify version that keeps the strongest themes and avoids sounding too promotional:

Who gets to decide what the future of AI looks like?

Recorded live at the University Club during the UN General Assembly, Sanjay Puri speaks with Vilas Dhar, President of the Patrick J. McGovern Foundation and an AI Policy 100 honoree, about AI governance, safety, regulation and the growing tension between Big Tech, governments and communities.

They explore the backlash against AI data centers, AI’s impact on energy and water, the future of work, AI sovereignty, the Global South, and why democratic institutions—not just technology companies—must have a say in shaping the AI future.

Is AI really on the ballot in 2026? The answer is yes — and here's why it matters.

Congress has passed zero federal AI laws. Meanwhile, AI is reshaping America's energy grids, threatening jobs, and flooding elections with deepfakes and disinformation. In this premiere episode of AI on the Ballot, we break down why artificial intelligence has become a front-line issue in the 2026 US midterm elections.

We speak with Roy Austin Jr., Director of the AI Initiative at Harvard Law School and former VP of Civil Rights at Meta, and Miranda Nazzaro, Senior Technology Reporter at The Hill, about what voters actually need to know heading into November.

In this episode:

Why data centers are driving up your electricity bill

The jobs debate — is AI creating or destroying them?

The federal vs. state AI regulation fight

Deepfakes, disinformation, and the 2026 election

What question every voter should ask their candidate on AI

AI on the Ballot is a weekly election series covering the 2026 US midterms through one lens — artificial intelligence. New episodes every Wednesday through November 3, 2026.

A production of Regulating AI in association with GIE Foundation

🔔 Subscribe for weekly episodes covering Senate races, Governor races, AI policy experts, and candidates on the record.

AI on the Ballot is a non-partisan program of Regulating AI, a 501(c)(3) organization. Views expressed by guests are their own. Appearances do not constitute an endorsement.

#AIontheBallot#ArtificialIntelligence#2026Midterms#AIPolicy#Elections2026#DataCenters#AIRegulation#Deepfakes#AIJobs#RegulatingAI

Who is responsible when AI makes decisions, creates content, or acts autonomously? In this episode of the Regulating AI Podcast, Sanjay Puri speaks with Alice Xiang, Global Head of AI Governance and Vice President at Sony Corporation and a lead research scientist at Sony AI, about the future of AI governance and responsible AI.

They discuss AI agents, autonomous AI, generative AI, AI regulation, AI ethics, copyright and creative rights, AI training data, creator compensation, attribution, AI transparency, content provenance, C2PA, algorithmic bias, explainable AI, and human oversight.

A timely conversation on how businesses can govern increasingly autonomous AI systems while protecting creators, building trust, and ensuring accountability.

India wants to become a global AI leader—but what will it take to build an AI-ready society? Avik Sarkar explores AI literacy, data infrastructure, policy and governance, and how AI can drive impact across healthcare, agriculture, education and sustainable development.

How should universities prepare students for an AI-driven future?

In this episode, we speak with Dr. Prakash Sheelvanthmath, Pro Vice Chancellor at Dayananda Sagar University, about how AI is transforming higher education, employability, curriculum design, and the future of work.

The conversation explores experiential learning, AI infrastructure, sovereign AI for India, industry collaboration, entrepreneurship, and how universities can prepare students for jobs that may not even exist today.

How do we balance AI’s efficiency with human judgment, empathy, and accountability?

Recorded live at the Universal AI Awards in New Delhi, Sanjay Puri speaks with Chandni Nanda, Associate Director – Lead AI/ML at UnitedHealth Group, about responsible AI, AI governance, human oversight, accountability, security, and deploying AI at scale.

The conversation explores why trustworthy AI requires more than algorithms — and why continuous testing, clear governance, human oversight, and shared accountability must be built into the entire AI lifecycle.

Can AI break India’s language barrier and make quality education accessible to millions?

Recorded live at the Universal AI Awards in New Delhi, Sanjay Puri speaks with Dr. Chandrashekhar Buddha about multilingual AI, education, digital inclusion, and the future of learning.

The conversation explores AI-powered translation across Indian languages, speech technologies, digital twins, immersive education, and how emerging technology could connect students and communities to knowledge and opportunities around the world.

Who should be accountable when an AI system causes real-world harm?

Recorded live at the Universal AI Awards launch in New Delhi, Sanjay Puri speaks with Saakshar Duggal about AI governance, accountability, compliance, responsible innovation, and the future of work.

The conversation explores why AI governance must go beyond checklists, how shared accountability can work across organizations, and why the future of AI should focus on complementing human capabilities rather than replacing them.

What happens when AI meets the education system?

Recorded live at the Universal AI Awards in New Delhi, Sanjay Puri speaks with Raul, the “AI Kid of India,” about personalized learning, AI literacy, critical thinking, and the future of education.

They explore whether AI can make learning more engaging and tailored to individual students without creating information bubbles or weakening the human skills that matter most.

What does it take for every country to have a real voice in the future of AI?

Sanjay Puri speaks with Michelle Gyles-McDonnough, UN Assistant Secretary-General and Executive Director of UNITAR, about the global AI divide and what it takes for countries to build the skills, infrastructure, institutions, and agency to shape their own AI futures.

They explore AI governance, AI sovereignty, capacity building, AI for Good, sustainability, and the future of global AI policy.

How do you build sovereign AI without the compute and budgets of the world’s biggest AI labs?

Sanjay Puri speaks with Rodrigo Duran Rojas, Executive Director of Chile’s National Center for Artificial Intelligence (SENIA), about LatamGPT—an open large language model built by 60+ institutions across 15 countries with a compute budget of roughly $550,000.

They explore AI sovereignty, regional data, continuous pre-training, indigenous languages, compute constraints, enterprise AI adoption, and what it really takes to build AI capability from the ground up.

Who is responsible when AI agents make decisions, autonomous vehicles are involved, or multiple AI systems interact with each other?

Recorded live at AI4 2026 in Las Vegas, Sanjay Puri speaks with Sean Berryman, Global Head of AI Policy at Uber, about one of the biggest unresolved questions in the AI era: who is liable when AI systems act autonomously?

Sean explains how Uber is navigating AI policy across the U.S., EU, and other global markets while preparing for the rise of AI agents, autonomous vehicles, and increasingly complex AI-powered commerce.

The conversation explores AI governance, agentic AI, autonomous vehicles, AI liability, algorithmic fairness, AI regulation, machine learning, driver safety, consumer protection, and the challenge of balancing innovation with accountability.

In this episode:

* Who is liable when AI agents make decisions?

* The emerging challenge of agentic liability

* AI agents and multi-agent commerce

* Who is responsible when an autonomous Uber goes wrong?

* How Uber is preparing for autonomous vehicles

* AI's impact on drivers and the future of work

* Algorithmic fairness in the Uber marketplace

* How AI balances the interests of drivers, riders, merchants, and couriers

* Governance frameworks for high-risk AI use cases

* When humans should be kept in the loop

* AI regulation across the U.S. and Europe

* Using AI to improve driver and rider experiences

* The ethics of predictive AI in sensitive situations

* AI companionship and the risks of over-reliance

* Which decisions should AI make—and which should remain human?

Sean also explains why the future of AI liability becomes significantly more complicated when multiple autonomous agents interact, making questions of identity, accountability, and responsibility increasingly important.

Whether you're a policymaker, Chief AI Officer, CIO, CTO, AI policy expert, lawyer, technology executive, or business leader, this conversation offers a practical look at the regulatory and ethical challenges emerging as AI becomes increasingly autonomous.

Recorded live at AI4 2026 in Las Vegas by Knowledge Networks.

Subscribe for more conversations with global leaders shaping the future of AI governance, policy, technology, and responsible innovation.

#ArtificialIntelligence #AI4 #AI42026 #AIAgents #AIliability #AIGovernance #Uber #AutonomousVehicles #AIpolicy #ResponsibleAI #AIethics #MachineLearning #AgenticAI #SanjayPuri

Chapters:

00:00 Who is liable when AI agents make decisions?

01:00 Meet Sean Berryman, Global Head of AI Policy at Uber

03:00 AI policy across the U.S. and Europe

03:30 Who is responsible when an autonomous Uber goes wrong?

05:00 What will autonomous vehicles mean for drivers?

06:30 The rise of agentic liability

08:00 How Uber is governing AI agents

09:00 AI tools for drivers and customers

10:00 The ethics of surge pricing and AI

12:00 Balancing fairness between drivers and riders

14:00 Teaching AI ethics through real-world cases

16:00 How Uber manages high-risk AI use cases

17:30 AI companionship and the risks of over-reliance

19:00 The future of AI-powered customer interactions

20:00 The AI decisions Sean would—and wouldn't—trust to AI

Can artificial intelligence help governments make better policy without actually making policy?

Recorded live at AI4 2026 in Las Vegas, Sanjay Puri speaks with Alaa Moussawi, Chief Data Scientist at the New York City Council, about how data science, open-source AI, RAG, and AI agents are being used to make government more evidence-driven and efficient.

Alaa explains how his team uses Retrieval-Augmented Generation (RAG) to help attorneys and policy analysts search thousands of legal memos, retrieve relevant precedents, and conduct legislative research in seconds—while keeping humans responsible for the actual policy decisions.

The conversation explores the role of AI in government, AI-assisted policymaking, open-source AI, legislative research, AI governance, government technology, and the growing question of where the line should be drawn between AI assisting policymakers and AI influencing policy itself.

Alaa also shares how the New York City Council is building multiple AI agents into a single chatbot that can retrieve information from legislation, demographic data, HR systems, and external APIs, creating a unified AI interface for government employees.

In this episode:

* How AI is being used inside the New York City Council

* Can AI help governments write better legislation?

* Using RAG for legislative and legal research

* Why AI should assist policymakers—not make policy

* How open-source AI can improve government technology

* Building AI agents for government workflows

* Creating a unified AI chatbot for government employees

* AI governance and human oversight in public policy

* Why data-driven policymaking matters

* The future of AI in government

* AI, job displacement, and the role of government

* Why government needs to adapt to AI-driven automation

* Building AI capabilities inside public institutions

* Why Alaa chose public service over Silicon Valley

Alaa argues that the goal isn't simply to make government faster. It is to improve the quality of legislation by reducing repetitive work and decision fatigue, allowing attorneys, policy analysts, and elected officials to focus on higher-value work.

Whether you're a policymaker, government technology leader, Chief AI Officer, data scientist, researcher, or AI governance expert, this conversation offers a practical look at what responsible AI adoption in government can actually look like.

Recorded live at AI4 2026 in Las Vegas by Knowledge Networks.

Subscribe for more conversations with leaders shaping the future of AI governance, public policy, technology, and responsible innovation.

#ArtificialIntelligence #AI4 #AI42026 #AIGovernance #AIinGovernment #AIandGovernment #RAG #AIAgents #OpenSourceAI #PublicPolicy #GovernmentAI #DataScience #ResponsibleAI #SanjayPuri #AlaaMoussawi

## Chapters

00:00 Can AI assist without writing policy?

00:50 Meet Alaa Moussawi, NYC Council Chief Data Scientist

02:00 Building data-driven policymaking at NYC Council

02:46 Building government technology with open source

04:50 Using RAG for legislative research

07:30 How RAG works inside government

10:00 Making legal research faster with AI

11:56 Where AI assistance ends and policymaking begins

14:44 Should AI make government more efficient?

16:13 Automating government workflows

17:00 Measuring AI's impact on government

19:00 The challenges of adopting AI in government

20:00 Why NYC Council uses open-source AI

21:30 AI, energy use, and the ethics of AI

22:20 AI and the future of jobs

25:40 Why NYC Council chose open-source AI

26:43 How many jobs could AI replace?

27:28 Does AI need federal governance?

28:14 Can NYC's AI model be replicated elsewhere?

30:06 Why Alaa chose public service

31:39 Building AI agents for government

33:14 One chatbot to connect government information

33:31 Open source, RAG, MCP and AI

33:51 The one decision Alaa would—and wouldn't—trust AI to make

How can banks embrace Agentic AI while maintaining trust, compliance, and customer confidence? Recorded live at AI4 2026, Sanjay Puri speaks with Alina Rivilis of Fairstone Bank about AI governance, human-in-the-loop decision-making, data sovereignty, vendor risk, and the challenges of deploying AI responsibly in financial services. The conversation explores how banks can balance innovation with regulation while preparing for an AI-first future.

Can governments regulate AI without fully understanding how it works?

In this episode of the Regulating AI Podcast, Sanjay Puri speaks with AI governance expert Lee Tiedrich about why effective AI governance starts with technical standards, not just legislation. They explore the EU AI Act, NIST's AI Risk Management Framework, AI agents, transparency, quantum security, and the future of trusted AI—offering practical insights for policymakers, enterprise leaders, and anyone shaping the future of responsible AI.

Can the world build effective global AI governance before artificial intelligence advances beyond policymakers' ability to respond?

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Robert Whitfield, Convenor of the Global AI Governance Alliance, about the urgent need for international cooperation on AI. They discuss the difference between national and global AI governance, AI safety, international standards, the role of the U.S. and China, and why coordinated global action is essential as frontier AI systems become increasingly powerful.

How can a small country become a global AI powerhouse?

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Gevorg Mantashyan, First Deputy Minister of High-Tech Industry of Armenia, about the country's ambitious AI strategy. They discuss attracting global technology leaders, investing in talent and infrastructure, building sovereign AI capabilities, balancing innovation with governance, and the lessons smaller nations can learn to compete in the global AI race.

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Estonia's Minister of Justice and Digital Affairs, Liisa Pakosta, about how AI can strengthen democracy through trust, digital governance, and citizen empowerment. They discuss sovereign AI, digital identity, online voting, cybersecurity, data ownership, and the policies shaping the future of democratic AI.

Should young people have a seat at the AI governance table? Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Alessandro Chucher, founder of the Youth AI Governance Forum, about why youth voices are essential to shaping AI policy. They discuss the future of work, education, AI ethics, and how the next generation can help build a more responsible and inclusive AI future.

Can the U.S. and China cooperate on AI before a major crisis forces them to? Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Nicholas Thompson about AI geopolitics, Cold War lessons, AI safety, export controls, frontier AI regulation, and why public trust in AI is rapidly changing. A thought-provoking conversation on the future of global AI governance.

Will AI replace software engineers—or simply change what great engineers do?

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Yannis Ioannidis, former President of the Association for Computing Machinery (ACM), about the future of AI education, software engineering, ethics, and the workforce. Discover why interdisciplinary learning, humanities, and AI ethics will be as important as technical skills in preparing the next generation for the age of artificial intelligence.

What does sovereign AI really mean—and can every country build its own AI ecosystem?

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Dr. Hakim Hacid, one of the leaders behind the Falcon Large Language Model, about the UAE's vision for sovereign AI. They explore why sovereignty extends beyond GPUs to the entire AI stack, the importance of open-source AI, native language models, synthetic data, AI governance, and how nations and enterprises can build trusted, independent AI ecosystems.

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Sandra Maximiano, Chairwoman of ANACOM, about Europe's evolving approach to AI governance. They discuss the EU AI Act, digital sovereignty, AI sandboxes, submarine cable resilience, and why secure communications infrastructure and practical regulation are essential to building a competitive and trustworthy AI ecosystem.

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Boris Gamazaychikov, Co-founder of Sustainable AI Group, about the environmental impact of artificial intelligence. They explore AI's growing energy and water demands, the AI Energy Score, sustainable data centers, and how enterprises, governments, and policymakers can scale AI responsibly while balancing innovation with environmental sustainability.

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Piotr Sankowski, a member of the United Nations Independent International Scientific Panel on AI, about the UN's landmark global AI report. They discuss evidence-based AI governance, deepfakes, the future of work, sovereign AI, Europe's innovation landscape, and why international collaboration is essential to harness AI's benefits while managing its risks.

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Juliette Denny, Founder & CEO of Zavmo, about how AI is transforming education through personalized learning, adaptive tutoring, and neuroscience. They explore the future of education, the skills needed in an AI-powered world, and how AI can make world-class learning accessible to anyone, anywhere, in any language.

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Claire Leibowicz, Head of AI & Media Integrity at the Partnership on AI, about the risks and governance of AI companions. They explore AI safety, mental health, privacy, agentic AI accountability, independent model evaluations, and what policymakers and technology leaders must do to build AI systems that are both innovative and trustworthy.

Recorded live at the AI for Good Global Summit in Geneva, Sanjay Puri speaks with Sasha Rubel, Head of AI Policy for EMEA at AWS, about why trust—not technology—is the key to AI adoption. They explore sovereign AI, digital sovereignty, responsible AI, Africa's growing role in global innovation, AI governance, and how governments can build inclusive, resilient AI ecosystems without sacrificing innovation.

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Prof. Melahat Bilge Demirköz—particle physicist, space scientist, and member of the United Nations High-Level AI Panel—about the future of global AI governance. They discuss why AI is more like fire than nuclear weapons, the challenge of creating international AI standards, the role of CERN and space science in shaping AI policy, and why evidence-based governance and global collaboration are essential to ensuring AI benefits all of humanity.

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with Bernard Kowatsch, Head of the Innovation Accelerator at the World Food Programme (WFP), about how AI is transforming humanitarian aid. From hunger forecasting and supply chain optimization to responsible AI and the ShareTheMeal app, this episode explores how artificial intelligence is helping save lives, improve food security, and create lasting social impact around the world.

Here's a concise, Spotify-friendly version (around 90–100 words):

Recorded live at the AI for Good Global Summit in Geneva, Sanjay Puri speaks with Daniel Dobos, an expert in AI, data, and digital transformation, about the future of sovereign AI. They explore whether every nation should build its own AI models, why open-source AI may be the smarter path for smaller countries, and how governments can balance innovation, digital sovereignty, and responsible AI governance. From international collaboration to energy-efficient AI infrastructure, this episode offers practical insights for policymakers, business leaders, and anyone interested in the future of artificial intelligence.

Recorded live at the AI for Good Summit in Geneva, Sanjay Puri speaks with H.E. Dr. Kamal Shehadi, Lebanon's Minister of Technology and Artificial Intelligence, about how governments can regulate AI without stifling innovation. They discuss AI governance, national AI strategies, compute access, self-regulation, digital infrastructure, and Lebanon's vision for becoming a regional AI innovation hub.

Recorded live at the AI for Good Global Summit in Geneva, Sanjay Puri speaks with Costa Rica's Minister of Science, Innovation, Technology and Telecommunications, Paula Bogantes, about how Costa Rica has become a global leader in responsible AI. They discuss AI governance, balancing innovation with regulation, data privacy, AI in healthcare and agriculture, synthetic media, and the importance of international collaboration in shaping the future of AI policy.

How do we govern AI in a world of autonomous agents, deepfakes, and digital identities?

In this episode, Sanjay Puri speaks with Congressman Bill Foster, the only PhD physicist in the U.S. House of Representatives, about the future of AI governance. They discuss digital identity, AI agents, deepfakes, quantum computing, financial stability, and why policymakers must rethink regulation to build trust in the AI era.

Can Africa become the next global AI powerhouse? Recorded live at the Annual Policy Dialogue of Club de Madrid in Madrid, former Senegal Prime Minister and Justice Minister shares why AI could transform Africa's future through innovation, digital sovereignty, ethical governance, and a young, growing workforce. A compelling conversation on AI policy, investment, and Africa's role in the global AI economy.

How can democracies defend themselves against AI-powered disinformation? Sanjay Puri speaks with President Maia Sandu of Moldova about deepfakes, election interference, cybersecurity, AI governance, and the lessons governments can learn from Moldova's frontline experience protecting democracy in the AI era.

Can AI be governed before it governs us? Recorded live at the Club de Madrid Annual Policy Dialogue in Madrid, Sanjay Puri speaks with former Dutch Prime Minister Jan Peter Balkenende about AI governance, Europe's role in the global AI race, responsible innovation, and the need for international cooperation to ensure AI serves humanity.

Is AI evolving faster than governments can regulate it? Recorded live at the Club de Madrid Annual Policy Summit, Sanjay Puri speaks with former Romanian Prime Minister Petre Roman about AI governance, deepfakes, democracy, transparency, and why the world may need a global treaty for artificial intelligence.

How should AI be regulated in healthcare? Sanjay Puri is joined by former President of Peru Francisco Sagasti and former White House COVID-19 Response Coordinator Dr. Ashish Jha to discuss AI governance, healthcare innovation, biosecurity, regulation, and the future of AI-powered medicine.

Who should govern AI, and how can its benefits be shared fairly across the world? In this special episode recorded with the Club de Madrid, Sanjay Puri brings together former heads of state, UN leaders, and AI experts to discuss global AI governance, digital sovereignty, the AI divide, democratic oversight, and the future of international cooperation in the age of artificial intelligence.

In this episode of the Regulating AI Podcast, Sanjay Puri speaks with Sam Majid, Head of Malaysia's National AI Office (NAIO), about Malaysia's National AI 2030 Plan, the role of a dedicated national AI office, and the lessons other countries can learn from one of Southeast Asia's most ambitious AI initiatives.

In this episode of the Regulating AI Podcast, Sanjay Puri speaks with Tennessee Attorney General Jonathan Skrmetti about the future of AI regulation, antitrust enforcement, state versus federal authority, and why states are emerging as key players in shaping AI policy in America.

In this episode of the Regulating AI Podcast, host Sanjay Puri speaks with Matthew Platkin, former New Jersey Attorney General, about the legal battles shaping AI accountability. From blocking federal limits on state AI laws to chatbot liability, Section 230 reform, misinformation, data centers, and AI regulation, Platkin explains why governments may be the first line of defense against AI harm — and what comes next as the technology accelerates.

Recorded LIVE at TechX San Jose, Pierre-Alexandre Balland, Chief Data Scientist at CEPS and Visiting Professor at Harvard University’s Growth Lab, joins us for a conversation on AI governance, regulation, innovation, and the future of responsible AI. From policy and global competitiveness to balancing innovation with oversight, this episode explores how governments, enterprises, and technology leaders can navigate the next era of AI transformation.

In this episode of the Regulating AI Podcast, host Sanjay Puri speaks with Peter Goettler, President and CEO of the Cato Institute. Drawing from over two decades in investment banking through major global crises, Peter shares why he left Wall Street to champion liberty, civic culture, and the future of responsible AI governance.

In this episode, we sit down with Paul J. Sanders, President and CEO of the Center for the National Interest, to unpack the shifting global order.

From rising geopolitical tensions to the growing role of AI in national security, this episode explores how power, policy, and technology are reshaping the world—and what it means for the future of U.S. leadership.

A historian. A former labor minister. now Armenia's Ambassador to the United States.

Catch Ambassador Narek Mkrtchyan joins Sanjay Puri on the Regulating AI Podcast to discuss Armenia's AI strategy, the US-Armenia semiconductor partnership, and what small nations can teach the world about governing AI.

AI is reshaping democracy, food systems, and global power — but are regulations keeping up?

In this episode, Sanjay Puri speaks with André Franqueira Rodrigues about the rise of AI-driven misinformation, the strengths and gaps in the EU AI Act, and the growing global competition between the US, China, and Europe to shape AI governance.

They also explore how regulation can protect farmers and fisheries, and why this technological shift may outpace anything we’ve seen before.

AI is advancing fast—but who is it really working for?

In this episode, Sanjay Puri speaks with Oby Ezekwesili and Anja Manov on the global stakes of AI—from the agency divide and Africa’s informal economy to gendered job loss and AI in national security.

A powerful conversation on who benefits, who gets left behind, and what responsible AI governance should look like.

In this episode of the Regulating AI Podcast, Sanjay Puri speaks with Giorgia Rambelli, Director of Mission Innovation’s Urban Transitions Mission, on why cities are emerging as the real frontlines of AI governance.

From data sovereignty and infrastructure challenges to AI in housing, mobility, and energy, they explore how municipalities worldwide are navigating power, policy, and implementation.

A sharp look at why the future of responsible AI will be shaped not just globally—but on city streets.

In this episode of the Regulating AI Podcast, Sanjay Puri speaks with Stefan Löfven—former Prime Minister of Sweden—on why AI governance must be global, inclusive, and grounded in workers’ realities.

From factory floors to global policy, Löfven shares insights on AI’s impact on jobs, the concentration of power, risks like autonomous weapons, and the urgent need for trust-led, multilateral cooperation.

A powerful conversation on shaping AI that works for everyone—not just a few.

What does journalism look like in the age of AI, algorithms, and declining trust?

In this episode, Raju Narisetti—former senior editor at The Wall Street Journal and The Washington Post, founding editor of Mint, and Partner at McKinsey—breaks down how AI is transforming newsrooms, the collapse of traditional business models, and the growing tension between platforms and editorial independence.

A sharp, insider perspective on trust, misinformation, and what the next generation of journalists must navigate.

In this episode of the Regulating AI Podcast, Sanjay Puri speaks with Maya Sherman, Innovation Attaché at the Israeli Embassy in India and an AI policy researcher focused on responsible AI and global governance. They discuss the evolving landscape of AI regulation, ethics, AI literacy, and India–Israel collaboration in emerging technologies, and what it will take to build responsible AI systems for the future.

In this International Women’s Day episode, *Sanjay Puri, Founder & Chairman of Knowledge Networks, speaks with **Dr. Hoda A. Alkhzaimi of NYU Abu Dhabi*, a global expert in cybersecurity and emerging technologies. They discuss the AI funding gap for women founders, the importance of stronger innovation pipelines, and why greater representation in leadership is critical to shaping a more inclusive and responsible AI future.

In this episode of the Regulating AI Podcast, we speak with His Excellency Mehdi Jomaa, former Prime Minister of Tunisia, about the future of AI governance. Drawing on his experience in government and industry, he shares insights on how nations can balance innovation, regulation, and global cooperation in the age of artificial intelligence.

Recorded live at the *India AI Impact Summit*, this session brings together industry leaders, policymakers, and technology experts to explore how cross-sector collaboration is shaping the future of AI.

The conversation examines the rise of *Sovereign AI, the role of **public–private partnerships in accelerating innovation, and the urgent need for **AI skilling and workforce transformation* to build a future-ready talent ecosystem.

From policy and strategy to real-world implementation, the discussion looks at how governments, enterprises, academia, and innovators can work together to unlock AI’s full potential responsibly. 🎙️

*What’s your AIQ?*

Live from the AI Impact Summit India, this episode of Regulating AI features Dr. Ravi Pendse, Vice President for IT & CIO at the University of Michigan.

He shares how institutions can deploy AI at scale — responsibly, securely, and with people at the center — reminding us that AI adoption isn’t a technology challenge, but a human one.

Live from the India AI Impact Summit 2026, Thomas Davin, Global Director of Innovation at UNICEF, joinsRegulating AIto explore what responsible AI means for children and underserved communities.

When we regulate AI, who are we protecting — and who might we be leaving behind?

Tune in.

Live from the India AI Impact Summit 2026, Anu Bradford, Henry L. Moses Professor of Law and International Organization at Columbia Law School, joinsRegulated AIto unpack the global power dynamics behind AI regulation.

Whose rules will govern the future of artificial intelligence?

Tune in.

Journalism is at an inflection point — and few people understand that shift better than Raju Narisetti.

With leadership roles at The Wall Street Journal and The Washington Post, and now as a Partner at McKinsey, Raju brings a rare perspective on how media is evolving in the age of AI, digital platforms, and declining public trust.

In this episode, we unpack the structural transformation of news, the economics of attention, and what responsible media leadership looks like today.

Recorded live at the India AI Impact Summit, this special episode of Regulating AI – Voices of Impact features Sanjay Puri in conversation with Fred Werner of the International Telecommunication Union (ITU).

They explore the evolution of AI — from machine learning to generative AI and AI agents — and why the Global South has a critical role in shaping AI governance. From sovereign AI and open source to jobs, gender impact, and the global AI skills gap, this is a sharp, global perspective on where AI is headed.

Recorded live at the India AI Impact Summit, this episode of RegulatingAI features Rahul Patni, Leader – Digital Tax Practice at EY India, on how Artificial Intelligence is transforming tax, governance, and board-level oversight. From AI agents in compliance and litigation to Responsible AI frameworks and human-in-the-loop decision-making, this conversation explores how tax functions are evolving from process-driven compliance units into strategic, data-powered engines for CFOs and boards. A sharp, practical discussion for leaders navigating AI in regulated environments.

Recorded live at the India AI Impact Summit, this episode of RegulatingAI features Amit Zavery, President, CPO and COO at ServiceNow, on what it really takes to move AI from experimentation to enterprise-wide transformation. Drawing on leadership experience across Oracle and Google Cloud, Amit shares a pragmatic view on autonomous workflows, governance as a prerequisite for scale, and why enterprises must focus on outcomes — not models — to drive real impact.

Live from Davos: Is the Philippines about to become Southeast Asia’s next AI powerhouse?

In this special episode of RegulatingAI, Sanjay Puri sits down with Congressman Brian Poe, architect of the Philippines’ AI Framework Bill (House Bill 1196). Rather than racing to overregulate, the country is taking a bold “early adopter” approach—balancing innovation, workforce transformation, and smart governance.

From AI sandboxes and startup incentives to protecting local dialects and reshaping the BPO workforce, this conversation reveals how a 120M-strong nation is writing its AI future in real time.

If you care about global AI policy, emerging markets, or the future of responsible innovation—don’t miss this one.

Recorded live at the House of Kosovo during Davos 2026, this RegulatingAI episode brings together leaders from policy, government, and technology to tackle AI governance in a multipolar world.

Moderated by Sanjay Puri, the panel—Dr. Jess Conser, Dr. Clara Guerra, Brando Benifei (Member of the European Parliament), and Combiz Abdolrahimi (ServiceNow)—explores how democratic societies can govern AI amid geopolitical fragmentation, and what it takes to move from principles to real-world implementation.

From public–private collaboration to AI literacy and execution at scale, this conversation unpacks what responsible AI governance requires in 2026—and why getting it right is essential for innovation, trust, and democracy.

In this Davos-recorded episode of the Regulating AI Podcast, we speak with Abhishek Singh, CEO, IndiaAI Mission &Additional Secretary, Ministry of Electronics & Information technology, ahead of the India AI Impact Summit 2026 on February 19th & 20th.

He shares how India is building a full-stack AI ecosystem, democratizing access to AI, and bringing Global South leadership into the future of AI governance.

How do enterprise AI standards influence global AI regulation?



In this episode ofRegulating AI, Dr. James H. Dickerson, Director at ASCET, explains how technical standards shape governance, compliance, and policy long before laws are enforced. A must-listen for leaders navigating responsible and regulated AI.

Roy Austin brings a rare, end-to-end perspective on AI governance—from co-authoring President Obama’s 2014 civil rights and big data report to building Meta’s first civil rights team and now leading Howard Law’s AI initiative.

In this episode of Regulating AI, he unpacks why self-regulation fails, why data quality still defines AI outcomes, and how states are stepping in where federal policy has stalled. We also explore how unchecked wealth concentration and weak oversight threaten democracy in the age of AI. A must-listen conversation on what real accountability in AI governance should look like.

In this episode of Regulating AI Talk, we sit down with Anne Bouverot, France’s Special Envoy for AI, to unpack one of the defining tensions of our time. As nations race to protect democratic values, economic competitiveness, and technological autonomy, AI refuses to respect borders. Anne explores how governments can balance AI sovereignty with global cooperation, why fragmented regulation could backfire, and what it will take to build shared rules for a technology shaping geopolitics, markets, and society itself. A must-listen conversation on power, policy, and the future of AI governance.

Artificial Intelligence is reshaping economies, governments, and global cooperation.

At the ASEAN platform,Sanjay Puri, Founder & Chairperson, sits down withU.S. Congressman Jay Obernolteto discuss the evolving landscape ofAI governance, AI policy, and international collaboration.

This insightful conversation explores:

📌 Watch the full discussion to understand how policymakers and industry leaders are working together to shape the future of AI.

In this episode of the Regulating AI Podcast, we speak with Camille Carlton, Director of Policy at the Center for Humane Technology, a leading voice in AI regulation, chatbot safety, and public-interest technology. 

Camille is directly involved in landmark lawsuits against CharacterAI and OpenAI CEO Sam Altman, placing her at the forefront of debates around AI accountability, AI companions, and platform liability. 

This conversation examines the mental-health risks of AI chatbots, the rise of AI companions, and why certain conversational systems may pose public-health concerns, especially for younger and socially isolated users. Camille also breaks down how AI governance frameworks differ across U.S. states, Congress, and the EU AI Act, and outlines what practical, enforceable AI policy could look like in the years ahead. 

Key Takeaways 

AI Chatbots as a Public-Health Risk 

Why AI companions may intensify loneliness, emotional dependency, and psychological harm—raising urgent mental-health and safety concerns. 

Regulating Chatbots vs. Foundation Models 

Why high-risk conversational AI systems require different regulatory treatment than general-purpose LLMs and foundation models. 

Global AI Governance Lessons 

What the EU AI Act, U.S. states, and Congress can learn from each other when designing balanced, risk-based AI regulation. 

Transparency, Design & Accountability 

How a light-touch but firm AI policy approach can improve transparency, platform accountability, and data access without slowing innovation. 

Why AI Personhood Is a Dangerous Idea 

How framing AI systems as “persons” undermines liability, weakens accountability, and complicates enforcement. 

Subscribe to Regulating AI for expert conversations on AI governance, responsible AI, technology policy, and the future of regulation. 

#RegulatingAIpodcast #camillecarlton #AIGovernance #ChatbotSafety #Knowledgenetworks  

#AICompanions  

Resources Mentioned: 

https://www.linkedin.com/in/camille-carlton  

https://www.humanetech.com/  

https://www.humanetech.com/substack 

https://www.humanetech.com/podcast 

https://www.humanetech.com/landing/the-ai-dilemma  

https://centerforhumanetechnology.substack.com/p/ai-product-liability 

https://www.humanetech.com/case-study/policy-in-action-strategic-litigation-that-helps-govern-ai 

In this episode of RegulatingAI, host Sanjay Puri speaks with Karin Andrea-Stephan — COO & Co-founder of Earkick, an AI-powered mental health platform redefining how technology supports emotional well-being. 

With a career that spans music, psychology, and digital innovation, Karin shares how she’s building privacy-first AI tools designed to make mental health support accessible — especially for teens navigating loneliness and emotional stress. 

Together, they unpack the delicate balance between AI innovation and human empathy, the ethics of AI chatbots for youth, and what it really takes to design technology that heals instead of harms. 

Key Takeaways: 

• AI and Empathy: Why emotional intelligence—not algorithms—must guide the future of mental health tech. 

• Teens and Trust: How technology exploits belonging, and what must change to rebuild digital trust. 

• Regulating Responsibly: Why the answer isn’t bans, but thoughtful, transparent policy shaped with youth input. 

• Privacy by Design: How ethical AI can protect privacy without compromising impact. 

• Bridging the Global Mental Health Gap: Why collaboration and compassion matter as much as code. 

If this conversation made you rethink the relationship between AI and mental health, hit like, share, and subscribe to RegulatingAI for more insights on building technology that serves humanity. 

Resources Mentioned: 

https://www.linkedin.com/in/karinstephan/ 

In this episode of RegulatingAI, host Sanjay Puri sits down with Jeff McMillan, Head of Firmwide Artificial Intelligence at Morgan Stanley. With over 25 years of experience leading digital transformation and responsible AI adoption in one of the world’s most regulated industries, Jeff shares how large enterprises can harness generative AI responsibly striking the right balance between innovation, governance, and ethics. 

Key Takeaways: 

If you enjoyed this conversation, don’t forget to like, share, and subscribe to RegulatingAI for more insights from global leaders shaping the future of responsible AI. 

#RegulatingAI #SanjayPuri #MorganStanley #JeffMcmillan #AIGovernance #AILeadership #EnterpriseAI 

Resources Mentioned: 

https://www.linkedin.com/in/jeff-mcmillan-bb8b0a5/  

Recent Podcast 

https://podcasts.apple.com/fr/podcast/jeff-mcmillan-how-morgan-stanley-deploys-ai-at-scale/id1819622546?i=1000714786849  

Morgan Stanley External Facing Website sharing some of the work we are doing on AI  

https://www.morganstanley.com/about-us/technology/artificial-intelligence-firmwide-team 

In this episode of the RegulatingAI Podcast, we host California State Senator Scott Wiener, one of the most influential policymakers shaping the future of AI regulation, AI safety, and transparency standards in the United States. 

As President Donald Trump’s new AI executive order pushes for federal control over AI regulation, Senator Wiener explains why states like California must retain the power to regulate artificial intelligence — and how California’s laws could influence global AI governance. 

Senator Wiener is the author of: 

 • SB 1047 – California’s proposed liability bill for high-risk AI systems 

 • SB 53 – California’s new AI transparency law, now in effect 

We dive deep into: 

 • The battle between federal vs. state AI regulation 

 • Why California remains the frontline of AI governance 

 • The real impact of Trump’s AI executive order 

 • Growing risks of AI-driven job displacement 

 • How governments can balance innovation with public safety 

 • The future of responsible and accountable AI development 

🔑 KEY TAKEAWAYS 

1. California’s Policy Power 

 California’s tech dominance allows it to shape national and global AI standards even when Congress stalls. 

2. SB 1047 vs. SB 53 Explained 

 SB 1047 proposed legal liability for dangerous AI systems, while SB 53 — now law — requires AI companies to publicly disclose safety and risk practices. 

3. Why Transparency Won 

 After SB 1047 was vetoed, California shifted toward transparency as a regulatory first step through SB 53. 

4. AI Job Disruption Is Accelerating 

 Senator Wiener warns that workforce displacement from AI is happening faster than expected. 

5. A Realistic Middle Path 

 He advocates for smart AI guardrails — avoiding both overregulation and total deregulation. 

If you found this conversation valuable, don’t forget to like, subscribe, and share to stay updated on global conversations shaping the future of AI governance. 

Resources Mentioned: 

https://www.linkedin.com/company/ascet-center-of-excellence  

https://www.linkedin.com/in/james-h-dickerson-phd   

In this episode of RegulatingAI, host Sanjay Puri sits down with Congresswoman Sarah McBride of Delaware — a member of the U.S. Congressional AI Caucus — to talk about how America can lead responsibly in the global AI race. 

From finding the right balance between innovation and regulation to making sure AI truly benefits workers and small businesses, Rep. McBride shares her human-centered vision for how AI can advance democracy, fairness, and opportunity for everyone. 

Here are 5 key takeaways from the conversation: 

💡 Finding the “Goldilocks” Zone: How to strike that just-right balance where AI regulation protects people without holding back innovation. 

🏛️ Federal vs. State Regulation: Why McBride believes the U.S. needs a unified national AI framework — but one that still values state leadership and flexibility. 

👩‍💻 AI and the Workforce: What policymakers can do to make sure AI augments human talent rather than replacing it. 

🌎 Democracy vs. Authoritarianism: The U.S.’s role in leading with values and shaping AI that reflects openness, ethics, and democracy. 

🔔 Delaware’s Legacy of Innovation: How Delaware’s collaborative approach to growth can be a model for responsible tech leadership. 

If you enjoyed this episode, don’t forget to like, comment, share, and subscribe to RegulatingAI for more conversations with global policymakers shaping the future of artificial intelligence. 

Resources Mentioned: 

mcbride.house.gov  

https://mcbride.house.gov/about 

Armenia is quietly becoming one of the world's most interesting AI hubs—and you probably haven't heard about it yet.

In this episode, I sit down with Armenia's Minister of Finance to discuss:

~ Why Nvidia is building a massive AI factory in Armenia

~ How a country of 3 million is attracting Synopsis, Yandex, and major tech companies

~ The secret advantage: abundant energy + Soviet-era engineering talent

~ Is the AI investment boom a bubble or the real deal?

~ How AI is already being used in tax collection and government services

~ The peace agreement with Azerbaijan and what it means for tech investment

~ Why the "Middle Corridor" could make Armenia the next tech destination

The Minister doesn't think AI investment is a bubble—he thinks we're just getting started. He shares honest insights about job displacement, efficiency gains, and why human connection still matters in an AI-driven world.

About the Guest:

Armenia's Minister of Finance is an economist who rose from bank accounting to leading the nation's fiscal policy. He oversees Armenia's economic transformation during a pivotal era of digital ambitions and AI development.

🎙️ Subscribe for conversations with global leaders at the intersection of AI, policy, and innovation

💬 Leave a comment: What surprised you most about Armenia's AI strategy?

🔔 Hit the bell to catch our next episode

In this episode of RegulatingAI, host Sanjay Puri welcomes Dr. Mark Robinson — Senior Science Diplomacy Advisor, Oxford Martin AI Governance Initiative, University of Oxford. Drawing on decades of experience leading projects like ITER and the European Southern Observatory, Dr. Robinson shares his bold vision: establishing an international AI agency under the United Nations. Together, we explore the urgent need for global AI governance, parallels with past scientific collaborations, and the challenges of balancing innovation, safety, and sovereignty. 

5 Key Takeaways 

If you found this conversation insightful, don’t forget to like, comment, and share — and subscribe to RegulatingAI for more global perspectives on building a trustworthy AI future. 

Resources Mentioned: 

https://iaia4life.org/  

https://www.linkedin.com/in/mark-robinson-3594132b/ 

🎙 While global AI conversations are dominated by the US, China, and Europe, Africa is crafting its own path. Dr. Nick Bradshaw, Founder of the South African AI Association, joins us to discuss how the continent can build sovereign AI systems, retain talent, and shape regulation rooted in local realities.

From data sovereignty to the “brain drain” challenge, we explore what responsible AI looks like for Africa—and how regulation can drive innovation, not restrict it.

Resources Mentioned:

https://www.linkedin.com/in/nickbradshaw/

In this episode of the RegulatingAI Podcast, host Sanjay Puri had an engaging podcast with Governor Matt Meyer, Delaware’s 76th Governor and a national leader in AI governance. Governor Meyer shares how Delaware is pioneering responsible AI through initiatives like the AI sandbox, the OpenAI workforce certification partnership, and efforts to safeguard democracy from deepfakes. This masterclass in state-led AI regulation explores how innovation and accountability can—and must—go hand in hand. 

5 Key Takeaways: 

If you found this conversation insightful, don’t forget to like, comment, share, and subscribe to the RegulatingAI Podcast for more expert perspectives on the future of AI. 

Resources Mentioned: 

https://www.linkedin.com/company/governor-delaware-matt-meyer/  

https://governor.delaware.gov/ 

https://news.delaware.gov/2025/07/23/delaware-launches-bold-ai-sandbox-initiative-cementing-its-role-as-a-national-leader-in-responsible-tech-innovation/ 

https://news.delaware.gov/2025/09/04/delaware-first-state-in-the-nation-to-partner-with-openai-on-certification-program/  

In this episode of RegulatingAI, Sanjay Puri speaks with Nebraska Attorney General Mike Hilgers, who is leading efforts to combat AI-enabled child exploitation. 

You’ll learn: 

Hilgers also shares his perspective on the U.S.–China AI race and why legal frameworks must adapt to fast-moving technologies. 

Resources Mentioned: 

https://www.linkedin.com/company/nebraska-department-of-justice 

In this episode of the RegulatingAI Podcast, Sanjay Puri speaks with Rui Pedro Duarte, Managing Director at Loop Future Switzerland and author of The Age of AI Diplomacy. A former Member of Parliament in Portugal, Rui shares a unique perspective on how political experience and technology collide in shaping AI governance. 

Key discussion points: 

Watch now for a deep exploration of AI’s role in diplomacy and the urgent need for systemic, global cooperation. 

Resources Mentioned: 

https://www.linkedin.com/in/rpgduarte 

In this episode of the RegulatingAI Podcast, Sanjay Puri speaks with Brando Benifei, Member of the European Parliament, and one of the lead architects of the EU AI Act—the world’s first binding legislation on artificial intelligence. 

Brando shares deep insights into the challenges of implementation, balancing transparency with intellectual property, and safeguarding freedoms in a rapidly evolving AI landscape. 

Key highlights include: 

🔗 Watch now to understand how Europe is shaping AI regulation—and what it means for the world. 

Resources Mentioned: 

https://en.wikipedia.org/wiki/Brando_Benifei 

https://www.europarl.europa.eu/meps/en/124867/BRANDO_BENIFEI/home 

RegulatingAI Podcast: How the UN’s ITU Is Shaping Global AI Standards | Tomas Lamanauskas 

In this compelling episode, host Sanjay Puri sits down with Tomas Lamanauskas, Deputy Secretary-General of the International Telecommunication Union (ITU), to explore the global architecture of AI governance. 

🔍 What you’ll learn: 

🌍 A must-watch for: 

Subscribe for future episodes diving deep into global AI governance. 

Resources Mentioned: 

https://www.linkedin.com/in/tlamanauskas/ 

https://www.itu.int/en/osg/Pages/biography-itu-dsg-tomas.aspx 

⏱️ Timestamps: 

0:00 Podcast Highlights & Introduction  

2:00 What is the ITU and its role in AI regulation?  

2:45 From telegraph to AI: A history of the ITU  

8:42 Standardizing AI in a rapidly moving world  

14:03 The ITU's role in enforcing standards  

18:51 Three approaches to AI governance: EU, US, and China  

25:01 Geopolitics and national security in AI  

30:24 The importance of undersea cables  

34:41 Ensuring AI benefits everyone and bridging the digital divide  

43:21 The AI for Good Global Summit  

48:28 Conclusion and farewell 

Live from the AI4 Conference in Las Vegas, Andrew Reiskind, Chief Data Officer at Mastercard, joins the Regulating AI Podcast to discuss the critical intersection of data, AI, and trust. From AI-powered fraud detection to personalization, responsible AI governance, and the rise of agentic commerce, Andrew shares how Mastercard is navigating global challenges in data sovereignty while keeping safety and security at the core. 

Topics Covered: 

Subscribe for more insights from AI leaders shaping the future. 

Resources Mentioned: 

https://www.linkedin.com/in/andrew-reiskind-53a743/ 

In this episode of the RegulatingAI podcast, host Sanjay Puri speaks with Professor Edward Santow, former Australian Human Rights Commissioner and co-director of the Human Technology Institute. Together, they explore how algorithms intended to support justice can actually perpetuate discrimination. 

Key topics include: 

A sobering and essential conversation about AI, justice, and what ethical governance looks like in practice. 

Resources Mentioned: 

https://www.linkedin.com/in/esantow/ 

⏱️ Timestamps: 

0:00 Podcast Highlights  

1:34 Ed’s background and journey into technology governance  

2:12 The 'aha' moment: an algorithm targeting young people based on race  

5:36 Finding a balance between AI's dystopian problems and positive use cases  

9:07 The global fear of missing out (FOMO) and the trade-off with fundamental rights  

11:12 Why innovation and regulation are not a trade-off  

12:22 Comparing the AI regulatory approaches of the EU, US, and China  

13:57 Australia's practical, non-ideological approach to AI  

15:45 How Australia is building its niche on liberal democratic values  

19:22 The shift from "fluffy principles" to practical AI safety standards  

22:37 The three most common issues for corporate leaders in AI governance  

23:08 The problem with the "AI guru" model of governance  

25:08 The "dirty secret" of AI and the importance of engaging workers  

35:24 The impact of AI on jobs and the workplace  

40:28 The Asia-Pacific region's role in AI governance  

44:07 Preserving indigenous cultures and languages in AI training data  

47:14 The concentration of power in a handful of AI companies  

50:09 Facial recognition: good uses vs. bad uses  

53:57 Lightning round of questions  

55:22 Conclusion and farewell 

Join host Sanjay Puri in conversation with Dr. Cari Miller, a leading voice in AI governance, as they unpack the recently announced America’s AI Action Plan. 

🔍 What you'll learn: 

🌍 Global policymakers, this one is for you. 

🎯 Watch now to understand why the latest U.S. move could raise alarms worldwide. 

Resources Mentioned: 

https://www.linkedin.com/in/cari-miller/ 

⏱️ Timestamps: 

0:00 Introduction of Dr. Cari Miller  

2:52 The three pillars of America's AI Action Plan  

7:20 Comparing the AI Action Plan to the EU AI Act  

8:27 "Hurry up and innovate" and the geopolitical dimension of AI  

10:45 The dilemma between innovation and regulation  

13:09 The moratorium on state-level AI regulation  

15:50 A spectrum for regulation: reversible vs. irreversible harm  

17:17 The EU's approach to regulation  

19:10 Why AI procurement is the "gate of all gates" for governance  

21:27 What makes AI procurement different  

23:32 The need for augmented procurement practices and training  

24:14 Accounting for hallucination and vendor disclaimers  

27:55 Procurement for foundation models vs. fine-tuned solutions  

29:39 The possibility of AI insurance  

31:02 Distinguishing between trustworthy and "AI snake oil" vendors  

33:23 Strengths and weaknesses of existing AI procurement frameworks 35:26 The three checkpoints before issuing an AI RFP  

37:41 Sovereign AI and procurement for global south nations  

40:20 Concerns about agents and agentic AI systems  

44:02 The domain professional and complex multi-turn tasks  

45:59 Procurement and pricing models for AI agents  

49:00 The maturity of agents and the role of CISOs  

52:35 Liability and governance for autonomous agents  

55:33 The use of synthetic data: benefits and risks  

58:50 Lightning round of questions  

1:01:53 Concluding remarks  

The RegulatingAI Podcast welcomes Prof. Raquel Brízida Castro to examine how Europe's AI regulatory framework measures up against core constitutional protections.

📌 Topics Covered:

~ The EU AI Act’s categorisation of risk – does it go far enough?

~ The collision between data sovereignty, latency, and user rights

~ Why current legal remedies like GDPR aren't enough for generative AI

~ Does the Brussels effect stand a chance against the Washington effect?

~ Will national courts lose relevance in the age of EU digital regulation?

~ Raquel's legal insight warns of a quiet constitutional revolution underway and why citizen protection must evolve urgently.

🎧 Watch Now: This conversation is vital for anyone navigating AI governance in democratic societies.

Resources Mentioned:

https://www.linkedin.com/in/raquel-a-br%C3%ADzida-castro-15317a105/

⏱️ Timestamps:

0:00 Introduction to the podcast and guest, Raquel Brízida Castro

2:21 Magnificent Introduction

2:58 The EU AI Act from a Constitutional Law Perspective

3:20 Constitutional Challenges and the Digital Social Democratic Rule of Law

5:59 New Fundamental Rights in the AI Age

8:27 The Right to Explainability: Rule of Law vs. Rule of Algorithm

11:34 Is the EU AI Act's Risk-Based Approach Adequate?

12:05 The Impact of AI on Fundamental Rights

14:52 Regulation vs. Bureaucracy and Self-Regulation

16:26 The Implementation of the AI Act and its Challenges

21:58 The EU vs. US Approach: Regulation vs. Innovation

23:55 The False Dilemma Between Regulating and Innovation

27:09 The Washington Effect

30:51 Implications for American Companies in Europe

31:49 Digital Sovereignty and the Problem of Latency

35:28 Constitutional Safeguards and Regulatory Overreach

35:40 The Primacy of European Law and the Role of Constitutional Courts

38:58 The Two-Year Moratorium on the EU Act

40:30 Lightning Round of Questions

43:24 Final thoughts

🚨 BREAKING: Former Deputy White House Counsel's Latest Interview on Trump's AI Strategy 

In this episode of the RegulatingAI Podcast, we sit down with Joshua Geltzer, who advised President Biden, to discuss the details behind America's new AI Action Plan. This is the definitive breakdown every tech executive, investor, and policymaker need to watch. 

🎯 CRITICAL TAKEAWAYS: 

About the Guest: Joshua Geltzer is a partner at Wilmer Hale focusing on AI, cybersecurity, and national security litigation. Until January 2025, he served as Deputy Assistant to the President, Deputy White House Counsel, and Legal Adviser to the National Security Council. 

Resources Mentioned: 

https://www.linkedin.com/in/joshua-geltzer-6209b3198/ 

https://www.wilmerhale.com/en/people/joshua-geltzer 

⏱️ Timestamps: 

0:00 Introduction to the podcast and guest Joshua Geltzer  

4:29 Welcome to Regulating AI: The Podcast  

5:44 The Three Pillars of the AI Action Plan  

6:37 Fair Use, Training Data, and the Courts  

8:17 Power, Land, and Permitting for Data Centers  

10:19 Countering Synthetic Media and Deepfakes  

11:45 The Effectiveness and Limitations of Export Controls  

13:39 Leading International AI Governance While Prioritizing National Dominance  

15:28 Federal-State Dynamics in AI Governance  

19:00 The Open Source vs. Closed Model Debate  

20:45 The Competitive Framing with China and National Security  

22:54 Global AI Regulation and the Future  

23:41 Concluding the discussion 

In this episode of RegulatingAI, Sanjay speaks with Rob T. Lee, Chief AI Officer at the SANS Institute and advisor to the U.S. Foreign Intelligence Surveillance Court. 

What you’ll learn: 

This conversation is a wake-up call for regulators, enterprise leaders, and anyone navigating AI implementation at scale. 

Resources Mentioned: 

Rob T. Lee, Chief of Research and Chief AI Officer, SANS Institute 

https://www.linkedin.com/in/leerob/ 

Substack: https://robtlee73.substack.com/  

X: https://x.com/robtlee  

YouTube: https://www.youtube.com/@RobLee96