Balancing helpfulness against harmlessness is an inherent tension in Safe RLHF rather than a tuning problem that can be resolved once.
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Balancing the dual objectives of helpfulness and harmlessness remains an inherent tension in Safe RLHF.
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Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024), Model Overview: Reinforcement Learning Through Human Feedback (RLHF), p. 30 https://ssrn.com/abstract=4855607 · source PDF
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Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607
Holds when
Safe RLHF designs that optimize helpfulness and harmlessness jointly
extended_bykaal:claim:6607458-030 The AI alignment problem is, within this framework, a foundational policy problem of Computative Economics rat...
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