Adhere to OECD AI Principles Section 1.5 (Accountability). AI actors should be accountable for the proper functioning of AI systems and for the respect of the above principles based on their roles + the context + and consistent with the state of the art. Implement (a) accountability framework for AI systems with defined roles + responsibilities + decision authority across providers + deployers + users + distributors + importers per AI system type and applicable regulatory regime, (b) AI system documentation requirements covering design + development + training + validation + deployment + monitoring + maintenance + decommissioning, (c) record-keeping for AI decisions with retention aligned to regulatory + investigative + litigation + governance needs, (d) lifecycle coverage of AI Principles ensuring each principle is honoured at each lifecycle phase, (e) common understanding of AI system and AI actor terminology aligned to OECD Recommendation Section 1 definitions, (f) AI Actor roles per OECD taxonomy (AI Provider + AI Deployer + AI User + AI Subject + AI Third Party + AI Regulator). Integrate accountability with broader corporate governance (board + audit committee + risk committee).
This control maps to 7 controls across 4 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.
The graph holds this control, the 7 it maps to, and the evidence behind each claim, over MCP and REST.