OECD Framework for Classifying AI Systems: two page overview

February 18, 2022

Fostering a digital ecosystem for AIHuman-centred values and fairnessInternational co-operation for trustworthy AITransparency and explainability

The framework classifies AI systems along five dimensions: People & Planet, Economic Context, Data & Input, AI Model and Task & Output. Each one has its own properties and attributes that help assess policy considerations of particular AI systems. Stakeholders are involved in or affected by AI systems, while AI actors play active roles according to each dimension and throughout an AI system’s lifecycle. The framework allows users to zoom in on specific risks that are typical of AI, such as bias, explainability and robustness yet it is generic in nature. It facilitates nuanced and precise policy debate. The framework can also help develop policies and regulations since AI system characteristics influence the technical and procedural measures they need for implementation. The framework promotes a common understanding of AI by identifying the features of AI systems that matter most. Both in and out of government, the framework can inform registries or inventories by guiding work to describe systems and the basic characteristics of algorithms or automated decision systems.

Disclaimer: The opinions expressed and arguments employed herein are solely those of the authors and do not necessarily reflect the official views of the OECD or its member countries. The Organisation cannot be held responsible for possible violations of copyright resulting from the posting of any written material on this website/blog.

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