What does this research mean for the field?

A systematic public-evidence census, the Global Agent Atlas, enables the mapping of world-facing AI agents to regulatory frameworks such as the EU AI Act to make them legible for governance and research. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to create a comprehensive mapping of AI systems to support regulation and compliance.

June 3, 2026Open Access

Making AI Agents Legible to Regulation: A Public-Evidence Census of World-Facing Agentic Systems

Puntos clave

The aim is to create a comprehensive mapping of AI systems to support regulation and compliance.
Developed the Global Agent Atlas v0.1 as a census of various AI agents and platforms.
Mapped systems to EU AI Act routes and local jurisdiction law hooks based on public evidence.
Compiled evidence strictness, source documents, and governance comparisons for each system.
Provides a structured resource for researchers, regulators, and journalists to understand AI systems' regulatory landscapes.
Identifies candidate systems for evaluation under local jurisdictional laws without legal conclusions.

Resumen

This preprint introduces the Global Agent Atlas v0.1, a public-evidence census of non-EU and world-facing AI agents, agent platforms, assistants, and high-risk-adjacent systems. This preprint introduces the Global Agent Atlas v0.1, a public-evidence census of non-EU and world-facing AI agents, agent platforms, assistants, and high-risk-adjacent systems. The atlas maps named systems to candidate EU AI Act routes, local jurisdiction-law hooks, evidence strictness, source documents, delegated-action cues, trust artifacts, and governance-radar comparisons. It uses the wording 'public-evidence candidates for local applicable jurisdiction exposure' to avoid legal conclusions while making public agent evidence legible for researchers, regulators, journalists, and public bodies. 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.

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Cite This Study

Anton Sokolov (Mon,) studied this question.

synapsesocial.com/papers/6a1fc756dee9eb8c0dce8386 https://doi.org/https://doi.org/10.5281/zenodo.20490332

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