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NIST scientist proves AI unassailable with conventional security models

A senior scientist at NIST has published a mathematical proof, building on Kurt Gödel's work, demonstrating that AI systems cannot be made completely unassailable using conventional security models. The proof suggests that inherent limitations exist in rendering AI systems fully secure. AI

影响 Suggests fundamental limitations in securing AI systems, potentially impacting future development and deployment strategies.

排序理由 The cluster discusses a peer-reviewed journal publication and a mathematical proof related to AI security. [lever_c_demoted from research: ic=1 ai=1.0]

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NIST scientist proves AI unassailable with conventional security models

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The cluster discusses a peer-reviewed journal publication and a mathematical proof related to AI security. [lever_c_demoted from research: ic=1 ai=1.0]
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safety, paper
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High
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报道来源 [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    别怪AI,怪库尔特·哥德尔“尽管我们尽力而为,但使用传统的安全模型,我们永远无法使AI完全无懈可击。在同行评审的期刊上

    Don't blame AI, blame Kurt Goedel "Try as we might, we can never render AI completely unassailable using conventional security models. In the peer-reviewed journal IEEE Security and Privacy, Apostol Vassilev, a senior scientist at the National Institute of Standards and Technolog…