A new paper proposes the concept of "acceptable misalignment" as a framework for developing autonomous robots capable of open-ended learning. The authors argue that achieving perfect value alignment with human values is impossible, leading to inevitable misalignment incidents. Instead of maximizing alignment, the focus should shift to ensuring that any remaining misalignment is acceptable to society. The paper outlines normative requirements for alignment mechanisms and introduces a new methodological framework to meet these requirements. AI
IMPACT Proposes a new theoretical framework for AI safety that could influence the design of future autonomous systems.
RANK_REASON The cluster contains an academic paper discussing a novel concept in AI safety. [lever_c_demoted from research: ic=1 ai=1.0]
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