https://taxonomy.eticas.ai/risk/governance-compliance
Risks from gaps in organisational processes for ongoing oversight, compliance, and lifecycle management of AI systems — including regulatory compliance, change management, data governance, monitoring and evaluation, remediation of failures, and incident response.
Status. Each mapping shows what it rests on. Reviewed means a reviewer has confirmed the mapping against the concept’s current definition and the framework edition the taxonomy currently references; when the only confirmation is that of the person who wrote the mapping, it reads Reviewed (author’s confirmation). Outdated means it was reviewed, but the concept’s definition has changed since, so the review has to be repeated. The other statuses mean that no review has been recorded yet. Inherited mappings have been in the taxonomy since before v5.7.0 and are unchanged. They carry no record of who made them or how, and some were checked by hand when the taxonomy first published its mappings. Agent-proposed mappings come from a review carried out by AI agents, which read the framework’s text and the concept’s definition and agreed on the relation; no person has confirmed them yet. Provisional mappings were made without access to the framework’s text. Unreviewed mappings are older mappings whose target or relation was revised in v5.7.0, and any other mapping without a review. Mappings to a superseded edition of a framework are not shown: where the provision continues, they are carried to the current edition. Mappings a review has changed or rejected are not shown.
| Framework | Reference | Status |
|---|---|---|
| EU AI Act (Regulation 2024/1689) | Article 17 — Quality management system | Unreviewed |
| EU AI Act (Regulation 2024/1689) | Article 9 — Risk management system | Agent-proposed |
| ISO/IEC 42001:2023 — AI Management System | A.9 Use of AI systems | Inherited |
| ISO/IEC 42001:2023 — AI Management System | Clause 10 — Improvement | Unreviewed |
| AIUC-1 — AI Underwriting Company Standard | Document regulatory compliance | Inherited |
| NIST AI Risk Management Framework (AI 100-1) | GOVERN 1: Policies, processes, procedures, and practices across the organization related to the mapping, measuring, and managing of AI risks are in place, transparent, and implemented effectively. | Inherited |
| Framework | Reference | Status |
|---|---|---|
| W3C Data Privacy Vocabulary — AI Extension | Risk Management | Agent-proposed |