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
Safeguard · Safeguards established
Traceability The ability to reconstruct relevant data, decisions, responsibilities, system changes, and events across a lifecycle.
What must be recorded so a later reviewer can understand what happened?
Tests Power Adaptability
Lifecycle Model development Deployment Monitoring Incident response Recorded relationships Read each statement from its first entity to its second. Status describes our mapping, not certainty of cause.
Risk management process — creates need for → Traceability
Mapping: asserted
Ongoing risk decisions need records that can be reviewed and revised.
Inspect evidence · source links · passage review pending Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Traceability — evidenced by → Audit record
Mapping: asserted
Logs, approvals, and change histories can support a traceability claim when they are complete and reviewable.
Inspect evidence · source links · passage review pending Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Liability exposure — creates demand for → Traceability
Mapping: asserted
Where an actor may have to answer for a decision, records that reconstruct it become worth keeping; the Convention ties documentation to the ability to challenge decisions.
Inspect evidence · 1 passage · passage review pending 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
Claims and evidence · 1 synthesis Confidence: high Contestability: low
Traceability connects decisions and system behavior to records that can support inquiry, review, and accountability.
Inspect evidence · source links · passage review pending Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
OECD AI Principles (opens in a new tab) Source-level attribution only. A precise supporting passage has not yet been recorded. Existing locator: OECD principle 1.5; EU AI Act high-risk obligations.