OECD AI Principles
The OECD AI Principles (2019, updated 2024) are “the first intergovernmental standard on AI” — the soft-law convergence layer beneath the regimes this wiki tracks, and the answer to a big chunk of the “whose standards win?” open question: the eu-ai-act, the Council of Europe treaty, US policy, and UN guidance all build on the OECD’s definition of an AI system and its lifecycle. 47 adherents (all OECD members, the EU, plus Brazil, Singapore, …). Source: oecd.ai.
The five values-based principles
Inclusive growth/well-being · human rights & democratic values (fairness, privacy) · transparency & explainability · robustness, security & safety · accountability — plus five recommendations to policymakers (R&D investment, ecosystem, interoperable governance, human-capacity/labour transition, international cooperation).
Why it matters here
It’s explicitly the standard a light-touch state like Israel aligns to (responsible-innovation) while only watching the eu-ai-act — “a foundation for global interoperability between jurisdictions.” But it’s non-binding soft law: it guides, it doesn’t enforce. It and iso-iec-42001/nist-ai-rmf form the voluntary-standards tier; the binding tier is the eu-ai-act and the framework-convention-on-ai.
Related
ai-governance · eu-ai-act · framework-convention-on-ai · nist-ai-rmf · iso-iec-42001 · risk-based-regulation · responsible-innovation