Standards and Regulation: OECD
Standards and Regulation · OECD. AI principles, policy observatory and intergovernmental frameworks. This source has 4 entries admitted under this category's review policy; each links directly to the original.
Authority tiers in this category: A1.
OECD Recommendation on AI and the AI Principles
Sets out principles for trustworthy AI, including inclusive growth, human-centered values, transparency, robustness and safety, and accountability; updated in 2024.
Evidence use: Supports the OECD AI Principles and the revised policy recommendations.
Limitations: A recommendation does not directly become binding domestic law. Implementation follows each member's and partner's own system.
Related concepts: AI Governance and Regulation · Human-in-the-loop (HITL)
Link last checked: 2026-09-24
OECD Framework for the Classification of AI Systems
Describes AI systems along the dimensions of people and planet, economic context, data and input, the AI model, and task and output.
Evidence use: Supports the dimensions and policy uses of the OECD classification framework.
Limitations: A classification tool, not a compliance certification. Must be applied to the context of the specific system.
Related concepts: AI Governance and Regulation · Model Evaluation and Benchmarks
Link last checked: 2026-09-24
OECD explanatory memorandum on the updated definition of an AI system
Explains, element by element, the OECD definition of an AI system as updated in 2023 and its boundaries.
Evidence use: Supports the official explanation of each element of the OECD definition of AI.
Limitations: Explains the OECD definition; it does not automatically determine definitions in other laws.
Related concepts: AI Governance and Regulation
Link last checked: 2026-09-24
OECD Due Diligence Guidance for Responsible AI
Applies the OECD due diligence cycle for responsible business conduct to identifying, preventing, tracking and communicating AI impacts.
Evidence use: Supports the OECD's recommended steps and limits for corporate AI due diligence.
Limitations: Non-binding guidelines. Cannot replace local legal obligations.
Related concepts: AI Governance and Regulation · Training Data Governance
Link last checked: 2026-09-24