Thomas Krendl Gilbert
Thomas Krendl Gilbert on the Political Economy of Reinforcement Learning Systems & Autonomous Vehicles, Sociotechnical Commitments, AI Development for the Public Interest, and more!
TalkRL: The Reinforcement Learning Podcast
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Show Notes
Thomas Krendl Gilbert is a PhD student at UC Berkeley’s Center for Human-Compatible AI, specializing in Machine Ethics and Epistemology.
Featured References
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz
Mapping the Political Economy of Reinforcement Learning Systems: The Case of Autonomous Vehicles
Thomas Krendl Gilbert
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks
McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert and Tom Zick
Additional References
- Political Economy of Reinforcement Learning Systems (PERLS)
- The Law and Political Economy (LPE) Project
- The Societal Implications of Deep Reinforcement Learning, Jess Whittlestone, Kai Arulkumaran, Matthew Crosby
- Robot Brains Podcast: Yann LeCun explains why Facebook would crumble without AI