OECD Recommendation on Artificial Intelligence (2024 Update)
What is 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.. It comprises 13 controls organised across 1 domains, and applies in International (OECD).
How OECD Recommendation on Artificial Intelligence (2024 Update) maps to other frameworks
All 13 controls, each one mapped to the equivalent requirement in other standards, with the evidence that carries across and the mappings that were judged and rejected shown alongside. No account needed to look.
See the control mappings →The 1 domains OECD Recommendation on Artificial Intelligence (2024 Update) groups its controls into
Frameworks that share controls with OECD Recommendation on Artificial Intelligence (2024 Update)
Each of these has at least one control mapped to a control in OECD Recommendation on Artificial Intelligence (2024 Update). The number is how many OECD Recommendation on Artificial Intelligence (2024 Update) controls are shared, counted from the mapping graph.
ASEAN Guide on AI Governance and Ethics
6 shared controlsCanada Artificial Intelligence and Data Act (AIDA)
5 shared controlsAustralia AI Ethics Framework
4 shared controlsSouth Korea Korea Internet Self-Governance Organisation (KISO) Code of Ethics
3 shared controlsVoluntary Principles on Security and Human Rights (VPs)
2 shared controlsVermont Artificial Intelligence and Consumer Data Act (AICDA)
2 shared controlsUN Guiding Principles on Business and Human Rights (UNGPs)
2 shared controlsISO 14001
2 shared controlsTraining on frameworks that overlap OECD Recommendation on Artificial Intelligence (2024 Update)
There is no course on OECD Recommendation on Artificial Intelligence (2024 Update) itself. These cover frameworks that share controls with it, so the material carries across even though the standard named is different.
Where OECD Recommendation on Artificial Intelligence (2024 Update) overlaps with the standards you already hold
What an auditor will ask you for
All 8 OECD Recommendation on Artificial Intelligence (2024 Update) controls, each with what it requires, the artefacts an auditor will ask you for, and where it commonly fails. Free to read, nothing to fill in.
Read the OECD Recommendation on Artificial Intelligence (2024 Update) evidence request listWhat OECD Recommendation on Artificial Intelligence (2024 Update) means in your sector
What OECD Recommendation on Artificial Intelligence (2024 Update) means for your job
Questions people ask about OECD Recommendation on Artificial Intelligence (2024 Update)
What is OECD Recommendation on Artificial Intelligence?
How many controls does OECD Recommendation on Artificial Intelligence have?
Where does OECD Recommendation on Artificial Intelligence apply?
What frameworks does OECD Recommendation on Artificial Intelligence map to?
How do I get started with OECD Recommendation on Artificial Intelligence compliance?
Query OECD Recommendation on Artificial Intelligence (2024 Update) programmatically
OECD Recommendation on Artificial Intelligence (2024 Update), its 13 controls and every mapping into other standards are available over a REST endpoint and an MCP server, so an agent can read them directly. The free tier is 10 calls a day and needs no signup.
OECD Recommendation on Artificial Intelligence (2024 Update) API reference and MCP config →What OECD Recommendation on Artificial Intelligence (2024 Update) requires, control by control
Each page carries the requirement text for one OECD Recommendation on Artificial Intelligence (2024 Update) control and what an assessor expects to see as evidence.
- 1 Updated AI System Definition, Foundation Models, and Generative AI Scope
- 2 Generative AI Transparency, Content Provenance, and Authenticity
- 3 Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation
- 4 AI Incident Reporting, Information Safety, Misinformation, and Manipulation Mitigation
- 5 Workplace AI, Worker Voice, Children Protection, and Vulnerable Populations
- 6 Security, Model and Data Protection, Intellectual Property, and Environmental Sustainability
- 7 Deployer Responsibilities, Agentic AI, and Engagement with Rights Holders
- 8 Interoperability with International AI Frameworks, Public Reporting, and Cross-Border Governance
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