Robust AI Security and Alignment: A Sisyphean Endeavor?

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[2512.10100] Robust AI Security and Alignment: A Sisyphean Endeavor?

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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<br>View a PDF of the paper titled Robust AI Security and Alignment: A Sisyphean Endeavor?, by Apostol Vassilev

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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. Broader implications for cognitive reasoning limitations of AI systems are also proven.

Comments:<br>17 pages, 1 figure. This version will appear in IEEE Security $ Privacy in June 2026

Subjects:

Artificial Intelligence (cs.AI)

Cite as:<br>arXiv:2512.10100 [cs.AI]

(or<br>arXiv:2512.10100v2 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2512.10100

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arXiv-issued DOI via DataCite

Related DOI:

https://doi.org/10.1109/MSEC.2026.3678214

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DOI(s) linking to related resources

Submission history<br>From: Apostol Vassilev [view email]<br>[v1]<br>Wed, 10 Dec 2025 21:44:10 UTC (165 KB)

[v2]<br>Tue, 7 Apr 2026 12:47:26 UTC (166 KB)

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