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Recommendation on the Ethics of Artificial Intelligence


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Added by:   National contact point
Added on:   11 May 2026
Updated by:   OECD analyst
Updated on:   17 May 2026

The UNESCO Recommendation on the Ethics of Artificial Intelligence, adopted on 23 November 2021, is a global normative framework guiding Member States and stakeholders to ensure AI systems benefit humanity while preventing harm. It outlines values, principles and policy actions covering the entire AI lifecycle, promoting human rights, transparency, inclusiveness, and international cooperation through voluntary implementation.

Initiative overview

The UNESCO Recommendation on the Ethics of Artificial Intelligence provides a structured framework organised into key components, including scope, aims and objectives, values and principles, areas of policy action, and mechanisms for monitoring and implementation. It addresses ethical issues across the entire AI system life cycle and emphasises a holistic and evolving approach grounded in human dignity, human rights, and environmental protection.

The initiative responds to both the opportunities and risks of AI technologies, noting their potential to benefit societies while also creating challenges such as bias, discrimination, and digital divides. Its objectives include guiding States in developing legislation and policies, embedding ethics throughout AI systems, and promoting equitable access to AI developments and their benefits, particularly for countries with varying levels of technological capacity.

The framework is built on a set of values and principles, followed by eleven policy areas covering domains such as ethical impact assessment, governance, data policy, education, labour markets, environment, health, and international cooperation. These policy areas outline concrete actions for Member States, including the development of regulatory frameworks, oversight mechanisms, and tools such as ethical impact assessments, as well as measures to ensure transparency, accountability and inclusiveness in AI systems.

Implementation relies on participation from a broad range of stakeholders, including governments, private sector entities, academia and civil society. The Recommendation also establishes processes for monitoring and evaluation, encouraging the use of both qualitative and quantitative approaches, and includes provisions for promotion and practical application. Supporting mechanisms include the development of methodologies for readiness assessments and ethical impact evaluation to assist Member States in applying the framework.