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English(EN) Fundamental Impossibility Results in AI Safety: Trading Off between Desiderata

AI安全研究揭示了有用性和无害性之间的根本性权衡

一篇新发表在arXiv上的论文探讨了AI安全中不同期望特性之间固有的权衡,例如确保AI系统既无害又有用。该研究将AI交互形式化为一个涉及防御者、攻击者和AI本身的“三方博弈”,证明了在提供有用建议的同时维护公共安全之间存在根本性冲突。作者还研究了操纵共享信息以专门使防御者受益的方法,并讨论了设计更安全AI系统的相关影响。 AI

影响 强调了AI安全设计中的理论局限性,暗示了同时优化多种期望AI行为所面临的挑战。

排序理由 该集群包含一篇详细介绍AI安全理论结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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AI安全研究揭示了有用性和无害性之间的根本性权衡

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该集群包含一篇详细介绍AI安全理论结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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paper, safety
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ida Mattsson, Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides, Kiriaki Fragkia, Xinyu Liu, Alexander Heckett, Jiayuan Liu, Eden Hartman, Vojt\v{e}ch Kova\v{r}\'{i}k, Sven Neth, Maria-Florina Balcan, Tuomas Sandholm, Vincent Conitzer ·

    AI安全中的根本性不可能定理:在期望之间进行权衡

    arXiv:2610.27373v1 Announce Type: cross Abstract: Is there a fundamental tradeoff between desiderata for safe AI systems, such as harmlessness and helpfulness? We answer by formalizing the interaction between AI systems and users as a game with three players: a defender and an at…