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.
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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The Foundations of Cooperative Intelligence
Arguing that cooperative intelligence—not individual intelligence—is foundational for humans, and that building human-like AI requires reversing the standard model to put cooperation first, exploring what this insight means for the research agenda on cooperative AI.
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Building the Infrastructure for Ethical AI
Exploring the institutional and regulatory infrastructure needed to ensure AI is developed and deployed ethically, as part of a series of short talks about disruption hosted by the Rotman School of Management.
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