AI Regulation Hub

OECD AI Principles

The OECD AI Principles are the first intergovernmental standard on AI, first adopted in 2019 and updated in 2024. They promote trustworthy AI and responsible stewardship through values-based principles and policy recommendations — widely referenced by national AI frameworks.

Key provisions

Trustworthy AI principles

In force

Values-based principles covering inclusive growth, sustainable development, human rights, democratic values, transparency, explainability, robustness, security, safety and accountability.

AI system definition

In force

OECD defines an AI system as a machine-based system that, for explicit or implicit objectives, infers from input how to generate outputs such as predictions, content, recommendations or decisions that can influence physical or virtual environments. This definition is reused across many national AI laws.

Policy recommendations

In force

Policy guidance to OECD members on investing in AI R&D, building a digital ecosystem for AI, shaping an enabling environment for trustworthy AI, building human capacity and preparing for labour-market transformation, and international cooperation.

Detailed overview

The OECD AI Principles and the UNESCO Recommendation on the Ethics of Artificial Intelligence are not country-specific AI laws, but they are important international standards. Many national AI frameworks use the same concepts: human rights, safety, transparency, accountability, fairness, human oversight, privacy, robustness and responsible innovation.

First intergovernmental AI standard

The OECD AI Principles were first adopted in 2019 and updated in 2024. They are described by the OECD as the first intergovernmental standard on AI. They define an AI system as a machine-based system that, for explicit or implicit objectives, infers from input how to generate outputs such as predictions, content, recommendations or decisions that can influence physical or virtual environments.

The OECD framework promotes trustworthy AI and responsible stewardship. It includes values-based principles and policy recommendations covering inclusive growth, sustainable development, human rights, democratic values, transparency, explainability, robustness, security, safety and accountability.

Effect on companies

These international principles do not create direct penalties for private companies by themselves. Their legal importance comes from their influence on national AI laws, regulator guidance, public procurement, impact-assessment standards, corporate governance and sector-specific AI rules.

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