Recommends principles for trustworthy AI including inclusivity, transparency, robustness, and accountability. Encourages investment in AI R&D, the creation of inclusive digital ecosystems, and the establishment of adaptable policy frameworks; advocates for international cooperation and capacity-building to advance AI governance and labor market transformation.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
This is a non-binding international recommendation from the OECD that uses voluntary language throughout and relies on adherence rather than legal enforcement. The document explicitly 'RECOMMENDS' and 'INVITES' rather than mandates, with no penalties or formal enforcement mechanisms.
The document has good coverage of approximately 10-12 subdomains, with strong focus on discrimination and fairness (1.1, 1.3), privacy (2.1), misinformation (3.1, 3.2), malicious use (4.1, 4.2, 4.3), human agency (5.1, 5.2), socioeconomic impacts (6.1, 6.2, 6.3), governance (6.5), and system robustness (7.3, 7.4). Coverage is concentrated in fairness, transparency, accountability, and socioeconomic transformation domains.
This is a cross-sectoral governance framework that applies broadly to all sectors where AI systems are developed, deployed, or used. The document does not limit its scope to specific industries but rather establishes principles and recommendations for trustworthy AI applicable across all economic sectors. Special attention is given to workplace transformation and labor markets across sectors.
The document explicitly addresses all stages of the AI lifecycle, with particular emphasis on the entire lifecycle approach. It defines the AI system lifecycle comprehensively and requires principles and risk management to be applied throughout all phases.
The document explicitly defines and addresses AI systems comprehensively, including their lifecycle, capabilities, and limitations. It does not use specific technical terms like 'frontier AI', 'GPAI', 'foundation models', or 'generative AI', nor does it specify compute thresholds. The focus is on AI systems broadly defined as machine-based systems that generate outputs influencing physical or virtual environments.
OECD; Digital Policy Committee
The document is proposed by the OECD's Digital Policy Committee, as stated in the opening and closing sections. The OECD Council formally adopts the recommendation based on this proposal.
Governments; OECD Digital Policy Committee
Governments are responsible for implementing the recommendations through national policies and regulatory frameworks. The OECD Digital Policy Committee monitors implementation but does not enforce in a traditional regulatory sense, as this is a soft law instrument.
OECD Digital Policy Committee; Working Party on AI Governance
The OECD Digital Policy Committee, through its Working Party on AI Governance, is explicitly tasked with monitoring implementation, developing measurement frameworks, providing forums for information exchange, and reporting to Council on implementation and continued relevance.
Members and non-Members adhering to this Recommendation (Adherents); AI actors; Governments; stakeholders
The document targets multiple entity types: governments (Adherents) who should implement national policies, AI actors (developers and deployers) who should follow the principles, and all stakeholders involved in AI systems. The principles apply to those who play active roles in the AI system lifecycle.
20 subdomains (9 Good, 11 Minimal)