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.
AI: Who Governs the Machine?
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.
AI Regulatory Capacity with Independent Verification Organizations
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
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
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
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
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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