[2512.10100] Robust AI Security and Alignment: A Sisyphean Endeavor?
Skip to main content
System maintenance August 4th and 5th<br>Learn more<br>×
Search arXiv
Press Enter to search · Advanced search
-->
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<br>View a PDF of the paper titled Robust AI Security and Alignment: A Sisyphean Endeavor?, by Apostol Vassilev
View PDF<br>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. 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
Focus to learn more
arXiv-issued DOI via DataCite
Related DOI:
https://doi.org/10.1109/MSEC.2026.3678214
Focus to learn more
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)
Full-text links:<br>Access Paper:
View a PDF of the paper titled Robust AI Security and Alignment: A Sisyphean Endeavor?, by Apostol Vassilev<br>View PDF<br>HTML (experimental)<br>TeX Source
view license
Current browse context:
cs.AI
next >
new<br>recent<br>| 2025-12
Change to browse by:
cs
References & Citations
NASA ADS<br>Google Scholar
Semantic Scholar
export BibTeX citation<br>Loading...
BibTeX formatted citation
×
loading...
Data provided by:
Bookmark
Bibliographic Tools
Bibliographic and Citation Tools
Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media
Code, Data and Media Associated with this Article
alphaXiv Toggle
alphaXiv (What is alphaXiv?)
Links to Code Toggle
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub Toggle
DagsHub (What is DagsHub?)
GotitPub Toggle
Gotit.pub (What is GotitPub?)
Huggingface Toggle
Hugging Face (What is Huggingface?)
ScienceCast Toggle
ScienceCast (What is ScienceCast?)
Demos
Demos
Replicate Toggle
Replicate (What is Replicate?)
Spaces Toggle
Hugging Face Spaces (What is Spaces?)
Spaces Toggle
TXYZ.AI (What is TXYZ.AI?)
Related Papers
Recommenders and Search Tools
Link to Influence Flower
Influence Flower (What are Influence Flowers?)
Core recommender toggle
CORE Recommender (What is CORE?)
Author
Venue
Institution
Topic
About arXivLabs
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .
Which authors of this paper are endorsers? |<br>Disable MathJax (What is MathJax?)
Major funding support from