RuntimeGuard-AI: Scalable Tamper-Evident Accountability for High-Risk  AI Systems Under the EU AI Act

Neeraj Kumar Singh Beshane

RuntimeGuard-AI: Scalable Tamper-Evident Accountability for High-Risk AI Systems Under the EU AI Act

Authors

Neeraj Kumar Singh Beshane

Keywords:

EU AI Act, Article 14, Human Oversight, Zero-Knowledge Proofs, Groth16, Merkle Trees, Compliance Engineering

Abstract

The EU AI Act (Regulation 2024/1689) imposes strict transparency and human oversight obligations onhigh-risk AI systems, specifically under Article 14. However, a critical technical gap exists: current governance mechanisms either rely on static pre-deployment audits

References

European Union, “Regulation (EU) 2024/1689 of the European Parliament and of the Council,” Official Journal of the European Union, L 2024/1689, Jul. 12, 2024. https://eur-lex.europa.eu/

Downloads

Published

2026-01-31

How to Cite

Neeraj Kumar Singh Beshane. (2026). RuntimeGuard-AI: Scalable Tamper-Evident Accountability for High-Risk AI Systems Under the EU AI Act. Journal of Computational Analysis and Applications (JoCAAA), 35(1), 1074–1090. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4841