AI Safety via Debate is Compromised by Cognitive Biases
Reinforcement learning from human feedback (RLHF) has played a central role in making large language models responsive to human instructions. However, human evaluators often favor flattering or persuasive responses over truthful ones, creating incentives for models to appeal to evaluators at the expense of accuracy. AI...
Ge-Fei Liu, S. Rashkovan, Sophia Lloyd George et al.
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