Thomas Krendl Gilbert

TalkRL: The Reinforcement Learning Podcast

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