OECD Framework for the Classification of AI systems

2022

The OECD Framework to Classify AI Systems was developed by the OECD.AI Network of Experts to help policy-makers, regulators, legislators and others assess the opportunities and risks presented by different types of AI systems to inform their AI strategies. The Framework links the technical characteristics of AI systems with policy implications for the OECD Principles on Trustworthy AI. After a year of work on the Framework, OECD.AI is launching a public consultation to gather feedback and input on the Framework’s usability and user-friendliness, and diverse perspectives and insights. All stakeholders are invited to partake in the consultation including: standards & technical bodies; business; legislators; regulator networks; civil society, consumers and others.

Citations in the corpus

• Auditing large language models: a three-layered approach (2023, background): “Finally, impact audits investigate the types, severity, and prevalence of effects from an AI system’s outputs on individuals, groups, and the environment [107].”