OECD Recommendation on Artificial Intelligence (2024 Update) 1.3.iii: 1.3.iii Explainability: plain information on the basis of outputs

Where feasible and useful, provide plain and easy-to-understand information on the sources of data or input, factors, processes or logic that led to a prediction, content, recommendation or decision, so that those affected can understand the output.

Maintained by Gerard BlokdykVerified against the published standard 31 May 2026Control text last updated 21 May 2026

Other controls in Section 1: Principles for responsible stewardship of trustworthy AI (AI actors) – OECD Recommendation on Artificial Intelligence (2024 Update)

1.1 1.1 Inclusive growth, sustainable development and well-being
1.2.a 1.2.a Respect the rule of law, human rights and democratic values throughout the lifecycle
1.2.b 1.2.b Mechanisms and safeguards including human agency and oversight, and misuse
1.3.i 1.3.i Transparency: general understanding of capabilities and limitations
1.3.ii 1.3.ii Transparency: awareness of interacting with AI, including at work
1.3.iv 1.3.iv Contestability: information enabling challenge of outputs
1.4.a 1.4.a Robust, secure and safe throughout the lifecycle
1.4.b 1.4.b Override, repair or safe decommissioning

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