OECD Organisation for Economic Co-operation and Development

This Terms of Reference (ToR) document sets out the roles and expectations for participants in the OECD Network of Experts on Artificial Intelligence (ONE AI) and describes the structure within which the Network operates. The OECD Council is the OECD’s official overarching decision-making body, composed of ambassadors from member countries and the European Commission. The Resolution of the Council of 1 April 1982 established the Committee for Information, Computer and Communications Policy, which became the Committee on Digital Economy, which was then renamed Committee on Digital Economy Policy (CDEP), and finally Digital Policy Committee (DPC) in 2024. — July 17, 2024

Communications toolkit for the updated OECD AI Principles May 2024.— April 29, 2024

The Office of the UN Secretary-General's Envoy on Technology (OSET), in its capacity as the Secretariat of the UN High-level Advisory Body on Artificial Intelligence (UN AI Advisory Board) is seeking input, including from the OECD, on the Interim Report: Governing AI for Humanity. This input will contribute to finalising the report, which will serve as a key basis for the UN Summit of the Future in September 2024.— March 31, 2024

Intergovernmental

Pursuant to the mandate given to the OECD by the G7, on 31 May 2023, the OECD.AI Policy Observatory and Strategic Foresight Unit held a virtual Expert Roundtable on Generative AI. The roundtable comprised the new OECD Expert Group on AI Futures, including its co-chairs, members of the secretariat, and membership candidates. The co-chairs are: • Francesca Rossi, IBM Fellow and AI Ethics Global Leader. • Stuart Russell, Professor of Computer Science at the University of California, Berkeley and Director of the Centre for Human-Compatible Artificial Intelligence. • Michael Schönstein, Head of Strategic Foresight and Analysis, German Federal Ministry of Labour and Social Affairs. The discussion focused on three key questions: 1. Given ongoing discussions, how might governments consider rules for the controlled release of high-impact generative AI models and applications? To guide this, how can we better measure/assess the quality and accuracy of generative AI outputs? 2. How can we promote regulatory experimentation that benefits countries and companies? 3. How can we better measure/assess the capabilities of generative AI relative to humans? How do we measure/assess how these capabilities could impact societies and labour markets? — August 16, 2023

Highlights of AI-WIPS conference held in February 2022.— December 15, 2022

Business

Session summary of this high-level panel discussion from the OECD MCM 2021 More than two years after the adoption of the OECD AI Principles, this discussion will highlight how countries are implementing policies for trustworthy, human-centric AI. The session will focus on: - Lessons learned to date implementing AI policies to steer the transformation of our economies and societies for inclusive growth and addressing global challenges. - Risk-based approaches to AI governance and soft and hard law, including the proposed EU AI Act that is triggering discussions around the world. - How to ensure that our policies and legal frameworks for AI are interoperable globally. And the priorities for international cooperation on AI moving forward.— June 17, 2022

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. — February 18, 2022

This flyer outlines the OECD's work on implementing trustworthy artificial intelligence (AI), in relationship to the OECD Artificial Intelligence Principles for Trustworthy AI. This work happens around two key initiatives that are underway at the OECD to implement the AI Principles. The first concentrates on building and sharing the evidence and data on AI policies, while the second focuses on developing tools and practical guidance to facilitate implementation.— October 19, 2021

May 25, 2021