RegulatingAI Podcast: Innovate Responsibly
- Episódios
- 226
- Publicação
- diária
- Último episódio
- 4 nov 2026
Sobre o podcast
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!
Episódios 226
AI Is Selling You Connections. Who’s Protecting You? | Ivana Bartoletti | Regulating AI
AI Companions, Digital Power & the Future of AI Governance | Ivana BartolettiCan AI companions manipulate the most vulnerable, and are existing regulations strong enough to protect us? On the Regulating AI …
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AI Companions, Digital Power & the Future of AI Governance | Ivana Bartoletti
Can AI companions manipulate the most vulnerable, and are existing regulations strong enough to protect us? On the Regulating AI Podcast, Sanjay Puri speaks with Ivana Bartoletti, Global Chief Privacy and AI Governance Officer at Wipro, about AI companions, democratic accountability, AI sovereignty, and the limits of voluntary safeguards. From protecting children to governing autonomous AI agents, this AI Policy 100 conversation examines why meaningful human oversight and enforceable regulation matter more than ever.
Public Accountability, AI Liability & Regulation with Sandra Wachter | AI Policy100
The Public Built the AI Boom. What Does It Owe Us? | Sandra WachterAI is powered by more than algorithms. Public money, data, land, water, and electricity help fuel its rise. So should society get something …
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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?
AI Data Centers vs. Local Communities: Power Lines, Pollution & Project Risk | Live in Tysons, Virginia
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 …
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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.
Why America's Data Center Boom Is Becoming a Political Fight | Live in Tysons, Virginia
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 …
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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 AI? Data Centers, Electricity Bills & the Fight Over Grid Costs | Live in Tysons, VA
Who Pays for the AI Boom? The Battle Over America’s Electricity BillsAI data centers are consuming more power—but should households pay the price? Recorded live at the Powering the AI Decade Data Center Forum …
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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?
Silicon, Substations & Small-Town Resistance | Live in Tysons, VA
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 …
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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.
The AI Boom Needs More Power: Data Centers, Grid & America's Energy Challenge | Live at Tysons, VA
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 …
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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.
Federal AI Regulation in America: State vs. Federal Power, Deepfakes, and National Security
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 …
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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 — The State Where Every AI Election Issue Collides
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 …
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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:
00:00 Episode starts
01:17 Why a conversation on Ohio matters
10:04 Rep. Greg Landsman joins
10:44 Ohio's tax breaks
13:04 The White House ratepayer pledge vs. Landsman's legislation
13:55 Manufacturing jobs and the automation threat
18:45 Does AI really create more jobs than it destroys?
24:24 Should Ohio regulate AI on its own?
26:12 AI, deepfakes, and disclosure in Ohio elections
29:50 Landsman's pitch for a federal AI regulatory body
32:07 The one question every Ohio voter should ask
34:16 Bennett 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.
Colorado 2026: AI, Data Centers, and the Race for Governor
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 …
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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?
01:39 - 03:57 Colorado AI Landscape
04:36 - 06:56 Tech Infrastructure Funding
07:13 - 09:37 Data Tariff Conflicts
09:45 - 10:56 Local Job Growth
10:56 - 11:46 Long-Term Employment Risks
12:47 - 15:07 Policy Leadership Role
15:08 - 19:14 Workforce Education Prep
19:15 - 22:45 Education System Responsibility
22:58 - 26:35 State AI Regulation
27:09 - 29:01 Federal Versus State
29:15 - 32:17 Mitigating 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
The 4 AI Fights on Your Ballot: Energy, Regulation, Jobs & Deepfakes
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 …
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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
AI Is Taking Over Our Communities — Who Gets a Say? | Vilas Dhar - Live at UNGA 2026, NYC
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 …
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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.
Why Is AI On The Ballot?
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 …
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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
AI Governance Is Breaking: Who Controls AI Agents, Data & Creative Rights? | Alice Xiang, SONY
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 …
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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’s AI Future Depends on Data: AI Literacy, Policy & Digital Transformation | Avik Sarkar
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 …
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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.
AI Is Changing Education: What Should Universities Teach Students Now? | Dr. Prakash Sheelvanthmath
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 …
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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.
AI Governance: Why Human Oversight & Accountability Matter | Chandni Nanda, UnitedHealth Group
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 …
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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.
How AI Can Transform Education in India Through 22 Indian Languages | Dr. Chandrashekhar Buddha
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 …
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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.
AI Governance: Who Is Accountable When AI Causes Harm? | Saakshar Duggal | Universal AI Awards
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 …
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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.
Can AI Fix Education? The Future of Personalized Learning & Critical Thinking | Raul John Aju
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 …
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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.
Michelle Gyles-McDonnough on AI Governance, Sovereignty & the Global AI Divide | UNITAR
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 …
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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 Latin America Built Its Own AI Model for $550K | Rodrigo Duran Rojas, LatamGPT
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 …
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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.
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 …
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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
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 …
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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
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 …
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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.
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 …
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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.
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 …
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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 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 …
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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.
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 …
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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.
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 …
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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.
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