Robust AI Security and Alignment: A Sisyphean Endeavor?
A new paper titled "Robust AI Security and Alignment: A Sisyphean Endeavor?" by Apostol Vassilev examines theoretical limits on AI robustness using information‑theoretic arguments derived from Gödel’s incompleteness theorem. The work outlines practical strategies for addressing these limits and discusses broader implications for AI cognitive reasoning. The manuscript, originally submitted to arXiv in December 2025, will appear in IEEE Security & Privacy in June 2026.
- ▪The paper establishes information‑theoretic constraints on AI security and alignment by extending Gödel’s incompleteness theorem.
- ▪It provides practical approaches for mitigating challenges posed by these theoretical limits.
- ▪The manuscript was first submitted to arXiv on 10 December 2025 and revised on 7 April 2026.
- ▪It is slated for publication in IEEE Security & Privacy in June 2026.
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| Original publisher | arXiv.org |
| Canonical URL | https://arxiv.org/abs/2512.10100 |
| Publication time | Sat, 08 Aug 2026 00:55:36 +0000 |
| Retrieval time | 2026-08-08T01:05:41.704Z |
| Last seen | 2026-08-08T01:05:41.704Z |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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Computer Science > Artificial Intelligence arXiv:2512.10100 (cs) [Submitted on 10 Dec 2025 (v1), last revised 7 Apr 2026 (this version, v2)] Title:Robust AI Security and Alignment: A Sisyphean Endeavor? Authors:Apostol Vassilev View a PDF of the paper titled Robust AI Security and Alignment: A Sisyphean Endeavor?, by Apostol Vassilev View PDF HTML (experimental) Abstract:This manuscript establishes information-theoretic limitations for robustness of AI security and alignment by extending Gödel's incompleteness theorem to AI. Knowing these limitations and preparing for the challenges they bring is critically important for the responsible adoption of the AI technology. Practical approaches to dealing with these challenges are provided as well.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
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