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07/27/2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Reinforcement learning from human feedback (RLHF) is a technique for tra...
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03/16/2023
Characterizing Manipulation from AI Systems
Manipulation is a common concern in many domains, such as social media, ...
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02/20/2023
Harms from Increasingly Agentic Algorithmic Systems
Research in Fairness, Accountability, Transparency, and Ethics (FATE) ha...
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11/15/2022
Mechanistic Mode Connectivity
Neural networks are known to be biased towards learning mechanisms that ...
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04/15/2020
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
With the recent wave of progress in artificial intelligence (AI) has com...
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03/02/2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Generalizing outside of the training distribution is an open challenge f...
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10/13/2017
