In Effect Guidance AI Safety Context Relevance

OECD AI Principles

Five value-based principles endorsed by 47 governments. OECD definitions of "AI system" and "AI lifecycle" adopted in EU AI Act, US regulations, and CoE Convention.

Jurisdiction

International

INTL

Enacted

Unknown

Effective

May 22, 2019

Enforcement

Not specified

Who Must Comply

This law applies to:

• AI actors in endorsing countries (voluntary)

Who bears obligations:

Developer Deployer

This regulation places direct obligations on deployers (organizations using AI systems).

Safety Provisions

• Inclusive growth, sustainable development, well-being
• Human-centered values and fairness
• Transparency and explainability
• Robustness, security, safety
• Accountability

Primary Source

OECD (opens in new tab)

https://www.oecd.org/en/topics/sub-issues/ai-principles.html

Quick Facts

Binding: No
Mental Health Focus: No
Child Safety Focus: No
Algorithmic Scope: No

Why It Matters

Foundational definitions used globally. "AI system" definition from OECD is now in EU AI Act and referenced in most national frameworks.

Recent Developments

Updated May 2024. 47 adherents (all 38 OECD members plus non-member countries including EU).

Cite This

APA

International. (2019). OECD AI Principles. Retrieved from https://nope.net/regs/oecd-ai-principles

BibTeX

@misc{oecd_ai_principles,
  title = {OECD AI Principles},
  author = {International},
  year = {2019},
  url = {https://nope.net/regs/oecd-ai-principles}
}

Related Regulations

In Effect INTL • AI Safety

ISO 42001

First certifiable international standard for AI management systems. Uses Plan-Do-Check-Act methodology. Third-party certification available; major AI systems have achieved certification.

In Effect INTL • AI Safety

ISO 23894

AI risk management guidance complementing ISO 31000. Lifecycle risk management; audit/procurement language.

In Effect AU-UNION • AI Safety

Continent-wide AI strategy endorsed by African Union Executive Council covering 55 member states. Phased implementation 2025-2030. Phase I (2025-2026) focuses on creating governance frameworks, developing national AI strategies, resource mobilization, and capacity building. Aims to harmonize AI development across Africa while respecting member state sovereignty.

In Effect BN • Data Protection