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
Actor · Societies established
Civil society and independent researchers Organizations, researchers, journalists, and communities that scrutinize AI arrangements, supply evidence about impacts, and contest decisions they were not party to.
Who can supply evidence and contest the arrangement from outside it, and were they represented when it was made?
Tests Legitimacy Power
Levels National International Recorded relationships Read each statement from its first entity to its second. Status describes our mapping, not certainty of cause.
Civil society and independent researchers — contests → Concentration of power
Mapping: hypothesized
Equity is said to demand that more voices play meaningful roles in governance decisions; outside scrutiny is one of the few checks on concentrated decision-making.
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, paras. vii and xv (pp. 7–8)
The accelerating development of AI is said to concentrate power and wealth on a global scale, with geopolitical and geoeconomic implications. Equity is said to demand that more voices play meaningful roles in governance decisions, and the concentration of decision-making in the AI technology sector is described as unjustifiable.
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-concentration
Claims and evidence · 4 synthesis Confidence: medium Contestability: high
People affected by AI systems are governance participants and rights-holders, not only downstream recipients of technical risk controls.
Inspect evidence · source links · passage review pending Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
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: low
Labour organisations propose making worker voice a legal requirement: compulsory union consultation before high-risk workplace AI is deployed, plus a right to human review.
Inspect evidence · 1 passage Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
The AI Bill Project (opens in a new tab) Summary of the draft Artificial Intelligence (Regulation and Employment Rights) Bill
The draft bill would give unions a statutory right to be consulted before employers deploy high-risk AI decision systems, and give workers a right to human review and a personal explanation of AI decisions.
Scope note: Labour voice. Model legislation drafted by a union federation; it is a proposal, not law.
Passage checked 2026-10-09 · tuc-consultation-right
source-assertion Confidence: high Contestability: low
Public consultation inside an impact assessment becomes a formality unless it comes with explicit requirements.
Inspect evidence · 1 passage Passage summaries are paraphrases, not quotations. Open the source to read the full passage.