OECD AI Principles
OECD Principles on Artificial Intelligence
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Framework Domains (5)
OECD AI Principles: AI Accountability & Oversight
Human oversight and accountability for AI (OECD AI Principles)
| Code | Title |
|---|---|
| OECD-AI-16 | Human oversight mechanisms |
| OECD-AI-17 | Accountability framework for AI systems |
| OECD-AI-18 | AI incident reporting and response |
| OECD-AI-19 | Regulatory compliance for AI |
| OECD-AI-20 | Third-party AI audit requirements |
OECD AI Principles: AI Data Governance
Governing data used in AI systems (OECD AI Principles)
| Code | Title |
|---|---|
| OECD-AI-11 | Training data quality and governance |
| OECD-AI-12 | Data bias assessment and mitigation |
| OECD-AI-13 | Data provenance and lineage tracking |
| OECD-AI-14 | Privacy protection in AI training data |
| OECD-AI-15 | Data retention for AI models |
OECD AI Principles: AI Risk Management
Managing risks associated with AI systems (OECD AI Principles)
| Code | Title |
|---|---|
| OECD-AI-01 | AI risk identification and assessment |
| OECD-AI-02 | AI system categorization by risk level |
| OECD-AI-03 | Bias detection and mitigation |
| OECD-AI-04 | AI model validation and testing |
| OECD-AI-05 | Ongoing AI risk monitoring |
OECD AI Principles: AI Safety & Security
Ensuring AI system safety and security (OECD AI Principles)
| Code | Title |
|---|---|
| OECD-AI-21 | AI system robustness and resilience |
| OECD-AI-22 | Adversarial attack protection |
| OECD-AI-23 | AI model security and integrity |
| OECD-AI-24 | Safe AI deployment procedures |
| OECD-AI-25 | AI system lifecycle management |
OECD AI Principles: AI Transparency & Explainability
Ensuring transparency in AI decision-making (OECD AI Principles)
| Code | Title |
|---|---|
| OECD-AI-06 | AI system documentation requirements |
| OECD-AI-07 | Algorithmic transparency measures |
| OECD-AI-08 | Explainability requirements for high-risk AI |
| OECD-AI-09 | User notification of AI interactions |
| OECD-AI-10 | Record-keeping for AI decisions |
Maps to 580 other frameworks
Frequently Asked Questions
What is OECD AI Principles?
OECD AI Principles is a compliance framework from International with 5 domains and 25 controls. OECD Principles on Artificial Intelligence It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does OECD AI Principles have?
OECD AI Principles has 25 controls organised across 5 domains. The largest domains are OECD AI Principles: AI Accountability & Oversight (5 controls), OECD AI Principles: AI Data Governance (5 controls), OECD AI Principles: AI Risk Management (5 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does OECD AI Principles map to?
OECD AI Principles maps to 580 other compliance frameworks. The top mapping partners are CSA CCM v4 (36% coverage), IEEE 7000 (36% coverage), China AI Regulations (36% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with OECD AI Principles compliance?
Start your OECD AI Principles compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about OECD AI Principles requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 25 controls and track your progress.
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