OECD AI Principles
International standards for responsible AI adopted by OECD member countries and beyond, organized around five value-based principles (inclusive growth, human-centered values, transparency, robustness/safety, accountability) and five policy recommendations. Endorsed by over 46 countries, they form the normative foundation for most national AI policies.
Why It Matters
The OECD AI Principles are the closest thing to a global consensus on responsible AI values. The EU AI Act, NIST AI RMF, and most national AI strategies explicitly build on them — understanding the OECD framework is understanding the DNA of modern AI governance.
Example
A company developing its AI ethics principles reviews the OECD AI Principles as a starting point, then adapts each principle to its specific industry context — translating 'inclusive growth and sustainable development' into concrete metrics around equitable access to its AI-powered services.
Think of it like...
The OECD AI Principles are like the Universal Declaration of Human Rights for AI — they set the values that specific laws and frameworks then implement in their own jurisdictions.
Related Terms
EU AI Act
The European Union's comprehensive regulatory framework for artificial intelligence, establishing rules based on risk levels. It categorizes AI systems from minimal to unacceptable risk with corresponding compliance requirements.
NIST AI Risk Management Framework (AI RMF)
A voluntary framework published by the U.S. National Institute of Standards and Technology that provides structured guidance for managing AI risks through four core functions: Govern, Map, Measure, and Manage. It's designed to be flexible, sector-agnostic, and compatible with other risk management frameworks.
Responsible AI
An approach to developing and deploying AI that prioritizes ethical considerations, fairness, transparency, accountability, and societal benefit throughout the entire AI lifecycle.