Research preview. Independent expert review is pending. The worked analyses are hypothetical.
Method and corrections Interactive field model
Inspect the system around the AI system. The model is organized by the clauses of the definition: societies, the four objects, the benefits and harmful patterns governance aims at, and the conditions it races against. Apply a cross-cutting test, narrow by lifecycle stage or level, and inspect how definitions, claims, relationships and sources travel together.
Apply a cross-cutting test Whole model Power Legitimacy Distribution Adaptability
Narrow by lifecycle stage or level Lifecycle stage Any stage Research Data collection Model development Evaluation Procurement Deployment Monitoring Incident response Retirement Level Any level Community and organisational use Corporate Sectoral National Regional International Loading interactive controls. Concept links remain available. Field model · whole model
Groups follow the clauses of the definition; they are not a sequence or causal chain. Actual relationships appear in the inspector.
Jump to selected entity Societies …how societies should shape…
actor AI developer or provider actor Deploying organization actor Affected people actor Civil society and independent researchers Incentives …the incentives…
incentive Deployment pressure incentive Competitive race dynamics incentive Liability exposure incentive Procurement leverage
Institutions …institutions…
institution Regulator or public authority institution Internal safety and governance team institution Standards body institution International institution
Infrastructures …infrastructures…
infrastructure Evaluation capacity infrastructure Compute infrastructure Data, language resources, and data labor infrastructure Energy, water, and minerals infrastructure Data work and content moderation Safeguards …and safeguards around AI…
safeguard Risk management process safeguard Impact assessment safeguard Traceability safeguard Audit record safeguard Meaningful human oversight safeguard Supervision and regulatory review safeguard Pre-deployment evaluation and red teaming safeguard Incident reporting and post-deployment monitoring safeguard Complaint and appeal routes safeguard Review and sunset provisions safeguard Compute controls Benefits and harmful patterns …so that its benefits are broadly shared and harmful patterns are addressed…
principle Accountability principle Safety principle Broadly shared benefit pattern Contestable decision pattern Concentration of power pattern Systematically unreliable provenance pattern Over-reliance and deskilling pattern Sycophancy and engagement-driven agreement pattern Homogenisation and loss of authorship Choices and conditions …while they are still choices rather than conditions.
condition Lock-in condition Governance lock-in condition Reversibility window
Institution · Institutions established
International institution An intergovernmental or multi-stakeholder body that coordinates across borders, produces shared assessment, and determines who is represented in global governance.
Which countries and communities are party to the arrangement, and which are absent?
Tests Legitimacy Distribution
Levels International Recorded relationships Read each statement from its first entity to its second. Status describes our mapping, not certainty of cause.
International institution — conditions who shapes → Broadly shared benefit
Mapping: contested
Benefits are shaped by the bodies that set terms; when 118 countries are party to none of the sampled initiatives, the distribution of benefit is decided without them.
Inspect evidence · 1 passage Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Governing AI for Humanity: Final Report (opens in a new tab) Executive summary, para. xiv (p. 8); section 3.A 'Representation gaps', paras. 63–65 and figure 8 (pp. 42–43)
Looking at seven prominent non-UN AI governance initiatives, the report finds seven countries party to all of them and 118 countries party to none, primarily in the global South. It calls these representation gaps a problem because the technology is global and comprehensive in its impact.
Scope note: An advisory body report representing a majority consensus of its members in their personal capacity. It is not a UN member-state decision. Page locators refer to the PDF's printed page numbers.
Passage checked 2026-09-06 · un-hlab-representation
International institution — coordinates across → Regulator or public authority
Mapping: asserted
National and regional authorities are described as crucial, but the transboundary technology is said to require a global approach that connects them.
Inspect evidence · 1 passage Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Governing AI for Humanity: Final Report (opens in a new tab) Executive summary, para. ix (p. 7)
The development, deployment and use of AI cannot be left to markets alone; national governments and regional organizations are described as crucial, but the transboundary structure and application of the technology is said to necessitate a global approach.
Scope note: An advisory body report representing a majority consensus of its members in their personal capacity. It is not a UN member-state decision. Page locators refer to the PDF's printed page numbers.
Passage checked 2026-09-06 · un-hlab-global-approach
Claims and evidence · 3 source-assertion Confidence: high Contestability: low
International AI governance initiatives leave most countries out: seven countries participate in all of seven sampled initiatives while 118 participate in none.
Our reading: The sample is seven non-UN initiatives chosen by the advisory body and counts endorsement of intergovernmental issuances; membership through the EU or African Union alone was not counted.
Inspect evidence · 1 passage Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Governing AI for Humanity: Final Report (opens in a new tab) Executive summary, para. xiv (p. 8); section 3.A 'Representation gaps', paras. 63–65 and figure 8 (pp. 42–43)
Looking at seven prominent non-UN AI governance initiatives, the report finds seven countries party to all of them and 118 countries party to none, primarily in the global South. It calls these representation gaps a problem because the technology is global and comprehensive in its impact.
Scope note: An advisory body report representing a majority consensus of its members in their personal capacity. It is not a UN member-state decision. Page locators refer to the PDF's printed page numbers.
Passage checked 2026-09-06 · un-hlab-representation
source-assertion Confidence: high Contestability: medium
No single level of governance can solve the whole problem: national and regional action is crucial, but the transboundary nature of AI requires global coordination.
Our reading: The report argues for a global approach; whether that requires new institutions or coordination of existing ones is contested within and beyond the report.
Inspect evidence · 1 passage Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Governing AI for Humanity: Final Report (opens in a new tab) Executive summary, para. ix (p. 7)
The development, deployment and use of AI cannot be left to markets alone; national governments and regional organizations are described as crucial, but the transboundary structure and application of the technology is said to necessitate a global approach.
Scope note: An advisory body report representing a majority consensus of its members in their personal capacity. It is not a UN member-state decision. Page locators refer to the PDF's printed page numbers.
Passage checked 2026-09-06 · un-hlab-global-approach
source-assertion Confidence: high Contestability: low
Chile’s national AI policy says Latin America has been under-represented in setting international AI principles and lacks sovereign high-performance compute.
Inspect evidence · 1 passage Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Política Nacional de Inteligencia Artificial (Actualización 2024) (opens in a new tab) Section 3.2, “Articulación Internacional”, p. 11; Section I, p. 3
Emerging countries, especially in Latin America and the Caribbean, have had little part in setting AI principles, a discussion concentrated in the Global North; the region also lacks sovereign high-performance compute.
Scope note: Adopted by decree; published in the Diario Oficial. Quotes are in Spanish; the passage summary is a translation.
Passage checked 2026-10-09 · chile-global-north-participation