Impact and Opportunities" Michel Morvan (Co-Founder and Executive Chairman, Cosmo Tech), "Viewpoint from the private sector on priorities for public sector AI R&D investment" Fernando Galindo-Rueda (OECD), "Measuring the AI Content of Publicly Funded R&D Projects" Representatives from inter-governmental organisations and other entities who are engaged in complementary AI initiatives and projects also participated. They include the Council of Europe, the European Commission, the Global Partnership on AI, the Inter-American Development Bank, the United Nations, UNESCO, and the World Bank. Their involvement helped to foster synergies and minimise duplication. The last section of this report, on International and multi-stakeholder co-operation on AI, provides a preliminary overview of the current work on AI governance taking place at the intergovernmental level and how these initiatives are connected. 10 STATE OF IMPLEMENTATION OF THE OECD AI PRINCIPLES: INSIGHTS FROM NATIONAL AI POLICIES OECD DIGITAL ECONOMY PAPERS
AI policy design
Countries are at different stages of developing and implementing national AI strategies and policiesThe development of national policies and strategies focusing specifically on AI is a relatively new phenomenon. Countries are at different stages of developing and implementing national AI strategies and policies. The EC-OECD database of national AI policies (www.oecd.ai/dashboards) contains national AI strategies and AI-related policy initiatives from over 60 countries. Strategy and policy priorities include financing AI R&D institutions and projects, addressing societal challenges, promoting AI uptake by business, fostering inclusive social dialogue, equipping the population with the skills for developing and using AI and fostering a fair labour market transition for workers.
Countries are using public and inclusive dialogue for trustworthy AITo seek input on the design of their national AI policies and strategies, governments often involve a broad range of stakeholders including citizens, civil society groups, private companies, research organisations and others. Consultation efforts generally seek to identify and report on current and future opportunities, risks and challenges arising from the use of AI in society. They also look for ways to build public trust in AI.