EveryAILaw.comOECD AI Principles
Obligations Covered
Timeline
| Milestone | Date | Notes |
|---|---|---|
| Adopted | May 22, 2019 | OECD Council at Ministerial level (OECD/LEGAL/0449) |
| G20 endorsement | Jun 29, 2019 | First intergovernmental AI standard endorsed by G20 |
| AI system definition updated | 2023 | Technical revision |
| Principles refreshed | 2024 | Updated for current AI landscape |
| 1,000+ policy initiatives | 2023 | Across 70+ jurisdictions referencing these principles |
Regulatory Crosswalk
Binding regulations that require the same obligations this standard addresses. Implementing this standard can help satisfy these regulatory requirements.
Related Regulations and Standards
Related instruments are selected from shared compliance obligations and jurisdiction coverage.
Transparency and Explainability (Principle 1.3) #
Requirements
| Requirement | Details |
|---|---|
| Transparency commitment | AI actors should commit to transparency and responsible disclosure |
| Meaningful information | Provide information appropriate to the context to foster understanding |
| Explainability | Enable people affected by AI systems to understand and challenge outcomes |
| Awareness of AI interaction | People should be able to know when they are interacting with AI |
Penalties
| Violation | Fine |
|---|---|
| Non-compliance | Voluntary — no binding enforcement mechanism |
Sources: OECD/LEGAL/0449
Human-Centred Values and Fairness (Principle 1.2) #
Requirements
| Requirement | Details |
|---|---|
| Human rights respect | AI actors should respect rule of law, human rights, and democratic values |
| Fairness | Ensure AI does not produce unjust or discriminatory outcomes |
| Privacy and data protection | Respect privacy rights throughout the AI lifecycle |
| Non-discrimination | AI should not create or reinforce unfair bias |
Penalties
| Violation | Fine |
|---|---|
| Non-compliance | Voluntary — no binding enforcement mechanism |
Sources: OECD/LEGAL/0449
Robustness, Security and Safety (Principle 1.4) #
Requirements
| Requirement | Details |
|---|---|
| Risk management | AI systems should not pose unreasonable risks; manage risks throughout lifecycle |
| Robustness | Ensure AI systems function as intended under normal and adversarial conditions |
| Security | Address cybersecurity risks in AI systems |
| Traceability | Enable traceability of AI system outcomes to data and processes |
Penalties
| Violation | Fine |
|---|---|
| Non-compliance | Voluntary — no binding enforcement mechanism |
Sources: OECD/LEGAL/0449
Accountability (Principle 1.5) #
Requirements
| Requirement | Details |
|---|---|
| Accountability | AI actors should be accountable for proper functioning of AI systems |
| Role-based responsibility | Accountability proportionate to role, context, and state of the art |
| Redress mechanisms | Enable challenge and redress for AI-driven outcomes |
Penalties
| Violation | Fine |
|---|---|
| Non-compliance | Voluntary — no binding enforcement mechanism |
Sources: OECD/LEGAL/0449
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