NIST - National Institute of Standards and Technology
12/12/2025 | Press release | Distributed by Public on 12/13/2025 03:56
Robust AI Security and Alignment: A Sisyphean Endeavor
Published
December 12, 2025
Author(s)
Apostol Vassilev
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.
Citation
Nature
Pub Type
Journals
Download Paper
Keywords
AI security, AI alignment, Gödel's theorem
Citation
Vassilev, A. (2025), Robust AI Security and Alignment: A Sisyphean Endeavor?, Nature, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=960858 (Accessed December 13, 2025)
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NIST - National Institute of Standards and Technology published this content on December 12, 2025, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on December 13, 2025 at 09:56 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]