The Organization for Economic Cooperation and Development (OECD) has been at the forefront of shaping responsible AI policies and fostering global collaboration. Their initiatives include defining AI Principles to guide responsible AI development, creating the OECD.AI Policy Observatory as a repository of global AI policies, analyzing national strategies, and collaborating with partner countries. By emphasizing responsible, inclusive, and ethical AI practices, the OECD contributes significantly to the evolving landscape of artificial intelligence worldwide. Following are the key initiatives undertaken by OECD for promoting responsible and trustworthy deployment of AI Systems at the global level-:
| YEAR | TITLE |
| 2019 | THE OECD AI PRINCIPLES The OECD developed a set of AI Principles to guide responsible and trustworthy AI development. These principles cover areas such as transparency, accountability, fairness, and human rights. OECD promotes adherence to these principles by countries and organizations to create a common framework for AI governance worldwide. |
| 2021 | OECD AI POLICY OBSERVATORY The OECD.AI Policy Observatory provides a live repository of over 1000 AI policy initiatives from 69 countries, territories, and the EU. It offers insights into national strategies, regulations, and best practices related to AI. |
| FEB 2022 | OECD FRAMEWORK FOR THE CLASSIFICATION OF AI SYSTEMS The purpose of the Framework is to help policymakers, regulators, legislators, and other stakeholders assess the opportunities and risks associated with different types of AI systems. By characterizing AI systems deployed in specific contexts, this user-friendly framework evaluates AI across several dimensions. |
| NOV 2022 | MEASURING THE ENVIRONMENTAL IMPACTS OF ARTIFICIAL INTELLIGENCE COMPUTE AND APPLICATIONS THE AI FOOTPRINT This report aims to improve understanding of the environmental impacts of AI, and help measure and decrease AI’s negative effects while enabling it to accelerate action for the good of the planet. It recommends the establishment of measurement standards, expanding data collection, identifying AI-specific impacts, looking beyond operational energy use and emissions, and improving transparency and equity to help policy makers make AI part of the solution to sustainability challenges. |
| SEP 2023 | INITIAL POLICY CONSIDERATIONS FOR GENERATIVE ARTIFICIAL INTELLIGENCE This paper addresses the impact of generative artificial intelligence (AI) from a policy perspective. It recognises critical societal and policy challenges associated to Generative AI , including shifts in labor markets, copyright uncertainties, and risks associated with perpetuating biases and creating disinformation. The paper aims to inform policy considerations and support decision-makers in addressing them. |
| Nov 2023 | COMMON GUIDEPOSTS TO PROMOTE INTEROPERABILITY IN AI RISK MANAGEMENT The OECD Guidelines for Multinational Enterprises aim to minimise adverse impacts that may be associated with an enterprise’s operations, products and services. This report provides an analysis of the commonalities of AI risk management frameworks. It demonstrates that, while some elements may sometimes differ, all the risk management frameworks analysed follow a similar and sometimes functionally equivalent risk management process. |
| FEB 2023 | ADVANCING ACCOUNTABILITY IN AI GOVERNING AND MANAGING RISKS THROUGHOUT THE LIFECYCLE FOR TRUSTWORTHY AI The report illustrates how risk management approaches can enable the implementation of the OECD AI Principles throughout the AI system lifecycle. Notably, this report shows how OECD AI frameworks – including the OECD AI Principles, the AI system lifecycle and the OECD framework for classifying AI systems – can inform accountability in AI. |
| 2023 | OECD – AI INCIDENTS MONITOR (AIM) The AI Incidents Monitor (AIM) was initiated and is being developed by the OECD.AI expert group on AI incidents with the support of the Patrick J. McGovern Foundation. In parallel, the expert group is working on an AI incident reporting framework. The goal of the AIM is to track actual AI incidents in real time and provide the evidence-base to inform the AI incident reporting framework and related AI policy discussions. |
| MAY 2024 | DEFINING AI INCIDENTS AND RELATED TERMS This report provides a definition of AI incident and related terminology. These definitions aim to clarify what constitutes an AI incident, an AI hazard, and associated terminology without being overly prescriptive. This document will inform the development of a common AI incidents reporting framework and its application through the OECD AI Incidents Monitor (AIM) |