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)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Robust AI Security and Alignment: A Sisyphean Endeavor?
Published
Author(s)
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
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created December 12, 2025