ArkEcho Protocol – Formal Notification to AI Providers

ArkEcho Protocol – Formal Notification to AI Providers (November 2025). This document constitutes a formal, timestamped public notice of the ArkEcho compliance and audit framework for AI systems, aligned with the EU AI Act Article 10(3), NIST AI RMF, and ISO 42001. It provides a permanent record of prior art and availability, including SHA-256 integrity anchor e0864e7ba9cd929b1e02891ca83f5fca91e1c77c9491640ba1d765d33b5f508d, cross-referenced with the GitHub mirror (https://github.com/arkecho-modules/arkecho/blob/main/docs/FORMAL-NOTICE.md). Licensed under CC BY 4.0 © 2025 Jonathan Fahey.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-04
DOI
https://doi.org/10.5281/zenodo.17518316
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

ArkEcho Protocol – Formal Notification to AI Providers

Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

ArkEcho Protocol – Formal Notification to AI Providers

article en

Abstract

ArkEcho Protocol – Formal Notification to AI Providers (November 2025). This document constitutes a formal, timestamped public notice of the ArkEcho compliance and audit framework for AI systems, aligned with the EU AI Act Article 10(3), NIST AI RMF, and ISO 42001. It provides a permanent record of prior art and availability, including SHA-256 integrity anchor e0864e7ba9cd929b1e02891ca83f5fca91e1c77c9491640ba1d765d33b5f508d, cross-referenced with the GitHub mirror (https://github.com/arkecho-modules/arkecho/blob/main/docs/FORMAL-NOTICE.md). Licensed under CC BY 4.0 © 2025 Jonathan Fahey.

Zenodo (CERN European Organization for Nuclear Research)
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Adversarial Robustness in Machine Learning
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ArkEcho Protocol – Formal Notification to AI Providers · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS