Recommendation of the Council on Artificial Intelligence (OECD)

By Karen Yeung. 2020

662 citations recorded by the source corpus.

On May 22, 2019, the Organisation for Economic Co-operation and Development (OECD) Ministerial Council Meeting adopted the Recommendation on Artificial Intelligence, signed by all 36 OECD member countries and non-member countries Argentina, Brazil, Columbia, Costa Rica, Peru, and Romania. Its aim is to foster innovation and trust in artificial intelligence (AI) by promoting the “responsible stewardship of trustworthy AI.”

Subfields: Economics and Econometrics, Law, Political Science and International Relations

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Jessica Morley
2. Luciano Floridi
3. Ala Al-Fuqaha
4. Emilio Ferrara
5. Shiv Narayan
6. Vidushi Marda

In Law

1. Anneke Zuiderwijk
2. Luciano Floridi
3. Emilio Ferrara

In Political Science and International Relations

1. Luciano Floridi
2. Anneke Zuiderwijk
3. Mariarosaria Taddeo
4. Emilio Ferrara
5. Inioluwa Deborah Raji

Citations in the corpus

• The Fallacy of AI Functionality (2022, background): “Similarly, the international trade group, the Organisation for Economic Co-operation and Development (OECD), mentions "robustness” and “trustworthy AI” in their AI principles but makes no explicit mention of expectations around basic functionality or performance assessment [207].”
• The ethics of algorithms: key problems and solutions (2020, background): “…in national and international ethical guidelines and principles, like the aforementioned European Commission’s European Group on Ethics in Science and Technologies, the UK’s House of Lords Artificial Intelligence Committee (Floridi and Cowls 2019), and the OECD principles on AI (OECD 2019).”
• Explainable, trustworthy, and ethical machine learning for healthcare: A survey (2021, background): “1) Inclusive growth, sustainable development, and well-being 2) Human-centred values and fairness 3) Transparency and explainability 4) Robustness, security and safety 5) Accountability These principles in the OECD framework argue for a human-centered approach for building sustainable trustworthy AI”
• The explanation game: a formal framework for interpretable machine learning (2020, neutral): “…challenge this reading (Edwards and Veale 2017; Wachter et al. 2017)—there is no question that policymakers are beginning to seriously consider the social impact of ML, and perhaps even take preliminary steps towards regulating the industries that rely on such technologies (HLEGAI 2019; OECD 2019).”
• Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models (2023, background): “• OECD Recommendation of the Council on Artificial Intelligence (AI): The OECD Recommendation of the Council on Artificial Intelligence is a set of guidelines that provides a framework for the responsible development and deployment of AI, with five principles focused on inclusive growth, human-cente”
• Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021, background): “…concerns related to privacy, safety, risk, and threats (Yudkowsky, 2008); social and ethical dilemmas about fairness, bias, and inclusion (International Labour Organization, 2019); and governance questions related to transparency, regulatory frameworks, and representativeness (OECD, 2019b).”
• Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024, neutral): “’, which highlights predictive capabilities along with the Reasoning that is essential for decisions and recommendations (OECD 2019).”