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AI alignment is neither solvable nor sufficient, argues new paper

A new paper argues that AI alignment, the goal of ensuring AI systems act according to human values, is a misguided endeavor. The authors contend that alignment is not well-defined due to the instability of human values, is not solvable in practice, and even if solvable, would not necessarily prevent harm. They propose that AI safety should be viewed as an ongoing challenge rather than a problem with a one-time solution, emphasizing the risks posed by complex human-machine societies. AI

IMPACT Challenges the fundamental assumptions of AI alignment research, suggesting a shift towards continuous safety management rather than a singular solution.

RANK_REASON The cluster contains an academic paper discussing AI safety concepts. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI alignment is neither solvable nor sufficient, argues new paper

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42 / 100
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The cluster contains an academic paper discussing AI safety concepts. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Gerrit Gro{\ss}mann ·

    AI Alignment Is Neither Solvable nor Sufficient

    arXiv:2611.13167v1 Announce Type: new Abstract: Humans and AI systems increasingly act within the same social and economic environments. Alignment, the goal of ensuring that AI systems act in accordance with human values, is widely regarded as a central challenge for ensuring tha…