AI Alignment Podcast
This series covers and explores the AI alignment problem across a large variety of domains, reflecting the fundamentally interdisciplinary nature of AI alignment. Broadly, Lucas will speak with technical and non-technical researchers across areas such as machine learning, governance, ethics, philosophy, and psychology as they pertain to the project of creating beneficial AI. Find a complete list of episodes below.
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AI Alignment Podcast: Synthesizing a human’s preferences into a utility function with Stuart Armstrong
/in AI, AI Alignment Podcasts, Featured /by Lucas PerryIn his Research Agenda v0.9: Synthesizing a human’s preferences into a utility function, Stuart Armstrong develops an approach for generating friendly artificial intelligence. His alignment proposal can broadly be understood as a kind of inverse reinforcement learning where most of the task of inferring human preferences is left to the AI itself. It’s up to […]