OECD Recommendation on Artificial Intelligence (2024 Update)
The OECD Recommendation on Artificial Intelligence, first adopted in May 2019 and updated in May 2024, sets out five values‑based principles: (1) inclusive growth, sustainable development and well‑being; (2) human‑centred values and fairness; (3) transparency and explainability; (4) robustness, security and safety; and (5) accountability. The 2024 update adds specific guidance for generative AI and foundation models, emphasizing responsible development, deployment, and governance of these technologies.
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Framework Domains (21)
2024 Update Focus Areas
| Code | Title |
|---|---|
| OECD-AI-3.1 | General-Purpose and Generative AI Risks |
| OECD-AI-3.2 | Environmental Footprint Consideration |
| OECD-AI-3.3 | Intellectual Property Rights |
| OECD-AI-3.4 | Multi-Stakeholder Risk Cooperation |
Accountability
| Code | Title |
|---|---|
| OECD-AI24-ACCOUNTABILITY | Enhanced Accountability Across the AI Value Chain |
| OECD-AI24-REPORT | Public Reporting on AI Governance |
Agentic AI
| Code | Title |
|---|---|
| OECD-AI24-AGENT | Agentic and Autonomous AI Systems |
Assurance
| Code | Title |
|---|---|
| OECD-AI24-EVAL | Independent Evaluation and Assurance |
Definitions
| Code | Title |
|---|---|
| OECD-AI24-DEFN | Updated Definition of AI System |
Deployment
| Code | Title |
|---|---|
| OECD-AI24-DEPLOYER | Deployer Responsibilities and Contextual Adaptation |
Frontier Models
| Code | Title |
|---|---|
| OECD-AI24-FRONTIER | Frontier Model Risk and Capability Disclosure |
Generative AI
| Code | Title |
|---|---|
| OECD-AI24-GENAI-TRANSPARENCY | Transparency for Generative AI Outputs |
| OECD-AI24-MISINFO | Mitigating Misinformation and Manipulation Risks |
| OECD-AI24-PROVENANCE | Content Provenance and Authenticity |
Human Oversight
| Code | Title |
|---|---|
| OECD-AI24-AGENCY | Human Agency and Oversight |
IP and Data
| Code | Title |
|---|---|
| OECD-AI24-IP | Intellectual Property and Training Data |
Incident Management
| Code | Title |
|---|---|
| OECD-AI24-INCIDENT | AI Incident Reporting and Information Sharing |
Interoperability
| Code | Title |
|---|---|
| OECD-AI24-INTEROP | Interoperability with Other AI Frameworks |
Labour
| Code | Title |
|---|---|
| OECD-AI24-LABOR | Workplace AI and Worker Voice |
Policy Recommendations
| Code | Title |
|---|---|
| OECD-AI-2.1 | Investing in AI Research and Development |
| OECD-AI-2.2 | Fostering a Digital Ecosystem for AI |
| OECD-AI-2.3 | Shaping an Enabling Policy Environment for AI |
| OECD-AI-2.4 | Building Human Capacity and Preparing for Labour Market Transformation |
| OECD-AI-2.5 | International Cooperation for Trustworthy AI |
Risk Management
| Code | Title |
|---|---|
| OECD-AI24-LIFECYCLE-RISK | Lifecycle Risk Management Including Foundation Models |
Safety
| Code | Title |
|---|---|
| OECD-AI24-INFO-SAFETY | Information Safety and Integrity |
Security
| Code | Title |
|---|---|
| OECD-AI24-SECURITY | Security Including Model and Data Protection |
Stakeholder Engagement
| Code | Title |
|---|---|
| OECD-AI24-RIGHTS-HOLDERS | Engagement with Affected Rights Holders |
Sustainability
| Code | Title |
|---|---|
| OECD-AI24-ENVIRONMENT | Environmental Sustainability Considerations |
Values-Based Principles
| Code | Title |
|---|---|
| OECD-AI-1.1 | Inclusive Growth, Sustainable Development, and Well-Being |
| OECD-AI-1.2 | Human-Centred Values and Fairness |
| OECD-AI-1.3 | Transparency and Explainability |
| OECD-AI-1.4 | Robustness, Security, and Safety |
| OECD-AI-1.5 | Accountability |
Vulnerable Users
| Code | Title |
|---|---|
| OECD-AI24-CHILDREN | Protection of Children and Vulnerable Users |
Your Compliance Coverage
If you comply with OECD Recommendation on Artificial Intelligence (2024 Update), you already cover:
NIST AI Risk Management Framework (AI RMF 1.0)
17%
6 controls mapped
Compare →NIST AI 600-1: Generative AI Profile
17%
6 controls mapped
Compare →UNESCO Recommendation on the Ethics of AI
17%
6 controls mapped
Compare →+ 273 more: ISO 20400:2017 - Sustainable Procurement (11%), ICMM Mining Principles (2024 Update) (11%)
See all 276 mapped frameworks ↓Maps to 276 other frameworks
Frequently Asked Questions
What is OECD Recommendation on Artificial Intelligence (2024 Update)?
OECD Recommendation on Artificial Intelligence (2024 Update) is a compliance framework from International (OECD) with 21 domains and 35 controls. The OECD Recommendation on Artificial Intelligence, first adopted in May 2019 and updated in May 2024, sets out five values‑based principles: (1) inclusive growth, sustainable development and well‑being; (2) human‑centred values and fairness; (3) transparency and explainability; (4) robustness, security and safety; and (5) accountability. The 2024 update adds specific guidance for generative AI and foundation models, emphasizing responsible development, deployment, and governance of these technologies. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does OECD Recommendation on Artificial Intelligence (2024 Update) have?
OECD Recommendation on Artificial Intelligence (2024 Update) has 35 controls organised across 21 domains. The largest domains are Policy Recommendations (5 controls), Values-Based Principles (5 controls), 2024 Update Focus Areas (4 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does OECD Recommendation on Artificial Intelligence (2024 Update) map to?
OECD Recommendation on Artificial Intelligence (2024 Update) maps to 276 other compliance frameworks. The top mapping partners are NIST AI Risk Management Framework (AI RMF 1.0) (17% coverage), NIST AI 600-1: Generative AI Profile (17% coverage), UNESCO Recommendation on the Ethics of AI (17% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with OECD Recommendation on Artificial Intelligence (2024 Update) compliance?
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