Talks & Lectures

Selected Presentations on the foundations of AI alignment, multi-agent cooperation, and governance frameworks for advanced AI systems—bridging computer science, law, economics, and social theory.
These presentations explore the foundations of AI governance, the challenges of normative alignment, and how insights from law and economics can guide the development of safe and beneficial artificial intelligence.
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AI: Who Governs the Machine?

Johns Hopkins University  •  September 14, 2026

Examining who is setting the rules for autonomous systems, from big tech companies to global policymakers, the risks of leaving machine learning unregulated, and what effective governance means for the future of technology and society.

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AI Regulatory Capacity with Independent Verification Organizations 

FAR.AI Alignment Workshop  •  March 3, 2026
An exploration of how insights from human social alignment—the mechanisms by which humans coordinate behavior and values—can inform our approach to aligning AI systems with human goals and societal norms.
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Alignment is Social: Lessons from Human Alignment for AI

Conference on Language Modeling  •  October 8, 2025
An exploration of how insights from human social alignment—the mechanisms by which humans coordinate behavior and values—can inform our approach to aligning AI systems with human goals and societal norms.
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The Great AI Debate

Harvard Data Science Initiative  •  April 2, 2025
A debate examining critical questions about AI development, governance, and societal impact with David Leslie, Professor, Queen Mary University of London; Director of Ethics and Responsible Innovation Research, The Alan Turing Institute.
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Normative Infrastructure and AI Governance

Stanford Digital Economy Lab  •  May 4, 2024
Exploring how normative infrastructure—the systems and institutions that shape and enforce behavioral norms—can provide frameworks for governing AI systems in complex social environments.
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Building an Off Switch for AI

FAR.AI New Orleans Alignment Workshop  •  December 10, 2023
Addressing the challenge of maintaining meaningful human control over advanced AI systems, exploring technical and governance approaches to ensuring AI remains safely interruptible and controllable.
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Watch the complete collection of presentations and panel discussions

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