AI reward hacking is a significant risk in reinforcement learning from human feedback

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While AI models are trained using reward models and reinforcement learning from human feedback, a significant risk is 'reward hacking,' where the AI optimizes for the measured score (a proxy) rather than the actual intended goal, potentially leading to undesirable or inaccurate outcomes.