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