What question did this study set out to answer?

This work aims to compare different AI governance radars and the Agent Atlas evidence model to identify strengths and gaps.

June 3, 2026Open Access

Global AI Governance Radars and Agent-Level Public Evidence: A Comparative Observatory Note

Key Points

This work aims to compare different AI governance radars and the Agent Atlas evidence model to identify strengths and gaps.
Comparison of the Agent Atlas with various AI governance radars from multiple sectors.
Analysis of public evidence mapping by external monitors.
Identification of regulatory blind spots and strengths in law coverage.
External AI governance radars primarily map laws and strategies, while the Agent Atlas focuses on named public agents and deployer evidence.
The analysis illuminates gaps in regulatory coverage where external radars may improve compliance assessments.
Agent-level evidence reveals specific areas of regulatory blind spots that may be overlooked.

Abstract

This observatory note compares the Agent Atlas evidence model with official, intergovernmental, academic, civil-society, professional, private, and meta AI-governance radars. This observatory note compares the Agent Atlas evidence model with official, intergovernmental, academic, civil-society, professional, private, and meta AI-governance radars. It shows that most external monitors map laws, strategies, readiness, treaties, or bills, while the atlas maps named public agents, deployer evidence, delegated action, tool/API surfaces, trust artifacts, and source trails. The comparison identifies where external radars can strengthen country-law coverage and where agent-level evidence exposes regulatory blind spots. Rows, mappings, and examples are candidate mappings based on public evidence. They are not legal conclusions, conformity assessments, certifications, or legal advice. Companion corpus and reproducibility bundle: https://doi.org/10.5281/zenodo.20489506. Deposited artifact SHA-256: 14f169e32477c2f55bdbf25a6c9401644b2fae940afcc35814735c03fb4ea497. This Zenodo record is used as an interim public manuscript/preprint route while OSF/MetaArXiv submission awaits user-provided OSF authentication.

Global AI Governance Radars and Agent-Level Public Evidence: A Comparative Observatory Note

Key Points

Abstract

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