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
Internal safety and governance team A board, committee, or technical team inside a developer or deployer that evaluates systems and can escalate, delay, or stop a release, if it has that power.
Can the team actually stop or delay a deployment, and who overrules it?
Tests Power Legitimacy
Lifecycle Evaluation Deployment
Levels Corporate Recorded relationships Read each statement from its first entity to its second. Status describes our mapping, not certainty of cause.
Internal safety and governance team — conducts → Pre-deployment evaluation and red teaming
Mapping: asserted
NIST places responsibility for risk decisions with named roles and leadership; the team that evaluates is the institutional site of the safeguard.
Inspect evidence · 1 passage Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Claims and evidence · 2 source-assertion Confidence: high Contestability: low
NIST’s voluntary GOVERN function describes documented roles and communication, staff training and executive responsibility for AI risk decisions.
Our reading: This describes what a voluntary framework recommends, not proof that adopting it produces accountability.
Inspect evidence · 1 passage Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
interpretation Confidence: medium Contestability: medium
A principle states a value; in this framework, a safeguard is a specified mechanism with an actor, a trigger, a record and a consequence. Specifying the mechanism lets us inspect how the value reaches a decision.
Our reading: AIGovSpec's analytical distinction, not a universal definition or evidence that mechanisms alone are sufficient. These sources connect values to organizational arrangements and challenge routes; they do not establish our four-part definition as a consensus.
Inspect evidence · 3 passages Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (CETS No. 225) (opens in a new tab) Overview page — introduction; 'What does the Framework Convention require states to do?': fundamental principles; remedies, procedural rights and safeguards
The Council of Europe describes the Convention as the first international legally binding treaty in the field, opened for signature on 5 September 2024, covering activities within the lifecycle of AI systems. It lists principles including transparency and oversight and accountability and responsibility, and says parties must ensure documentation sufficient for affected people to challenge decisions and the use of a system, with an effective possibility to complain to competent authorities.
Scope note: The Council of Europe overview page was reviewed, not the treaty text itself. The Convention binds only parties for which it has entered into force, and is largely framed as obligations on states to adopt measures. Signature and ratification status changes; verify before relying on it. The treaty text itself (CETS 225) was opened on 19 October 2026 for the definitions comparison.
Passage checked 2026-09-06 · coe-principles-remedies