AI Agents, Autonomous Vehicles & AI Liability | Sean Perryman, Uber | Live at AI4 2026
RegulatingAI Podcast: Innovate ResponsiblyShow Notes
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.
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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
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