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In AI safety, attainable utility preservation refers to an impact measure that penalizes an agent for changing its ability to achieve a set of auxiliary goals, to limit side effects. This meaning comes from Turner (2020) in Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.[1]
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