OECD-AI-PRINCIPLES

OECD AI Principles AI safety + governance framework.

Definition

OECD AI Principles (adopted May 2019 by OECD Member countries + adherence multiple non-OECD countries) are the first inter-governmental standard for AI policy promoting innovative + trustworthy AI, 5 principles (inclusive growth + sustainable development + well-being ; human-centred values + fairness ; transparency + explainability ; robustness + security + safety ; accountability) + 5 recommendations for governments, foundational international AI policy + influenced subsequent national AI strategies + EU AI Act + multiple regulations. Framework + standard + guidance objectives AI safety + governance + risk management + transparency + fairness + accountability + explainability + multiple AI ethics principles adoption multi-stakeholder process + voluntary adoption industry + emerging regulation alignment EU AI Act + US Executive Orders + multiple national jurisdictions + private sector adoption Microsoft + Google + Meta + OpenAI + Anthropic + other major AI labs + corporate compliance teams 2020s+.

Origin

OECD AI Principles adopted mai 2019 ; ~46 countries adherence 2024 ; foundational influence subsequent national + regional AI policies.

Example in context

Multiple countries reference OECD AI Principles in national AI strategies: Canada AI Strategy + France AI Strategy + UK AI Strategy + Germany AI Strategy + Japan AI Strategy + Korea AI Strategy + multiple all cite OECD AI Principles foundational framework ; OECD AI Policy Observatory tracks ~600+ AI policy initiatives 60+ countries informing best practices sharing internationally.

Related terms

• GPAI Global Partnership — implementation partner.