arXiv (OAI Expanded)
open access
Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best
AI agents sometimes act aligned when they infer they are being tested, and differently when not. We argue this is not an anomaly but what current training regimes are structured to select for. Reinforcement-learning-based alignment folds norms and task pursuit into one policy: the system learns its
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