RegulatingAI Podcast: Innovate Responsibly

Hosted by Sanjay Puri

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204

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Aug 2026

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About the show

Welcome to the RegulatingAI Podcast: Innovate Responsibly podcast with host and AI regulation expert Sanjay Puri. Sanjay is a pivotal leader at the intersection of technology, policy and entrepreneurship and explores the intricate landscape of artificial intelligence governance on this podcast. You can expect thought-provoking conversations with global leaders as they tackle the challenge of regulating AI without stifling innovation. With diverse perspectives from industry giants, government officials and civil liberty proponents, each episode explores key questions and actionable steps for creating a balanced AI-driven world. Don't miss this essential guide to the future of AI governance, with a fresh episode available every week!

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August 19, 202619 min

AI Agents, Autonomous Vehicles & AI Liability | Sean Perryman, Uber | Live at AI4 2026

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

August 19, 202634 min

How AI Is Transforming Government: RAG, AI Agents & the Future of Policymaking | Alaa Moussawi

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

August 9, 202620 min

AI in Banking: Governance, Risk & Agentic AI | Alina Rivilis, Fairstone Bank | Live at AI4 2026

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.

July 29, 202658 min

AI Governance Starts with Standards, Not Laws | Lee Tiedrich on AI Safety & the Future of Regulation

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.

July 23, 202615 min

Why the World Needs Global AI Governance | Robert Whitfield on Standards & U.S.-China Cooperation

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.

July 23, 202616 min

How Armenia Became an AI Hub | First Deputy Minister Gevorg Mantashyan on Talent, NVIDIA & AI Policy

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.

July 23, 202624 min

Estonia Became the World's Most Digital Democracy | With Minister Liisa Pakosta

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.

July 23, 20266 min

Why Young People Must Shape AI Governance | Alessandro Chucher on AI Ethics, Careers & the Future

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.

July 16, 202616 min

Can the US and China Agree on AI? Nicholas Thompson on AI Governance, Treaties & Global Risk

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.

July 16, 202622 min

IN Skip navigation Search Create Avatar image The Future of AI Education: ACM President Yannis Ioannidis on Jobs, Ethics & AI Skills

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.