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UNESCO AI Ethics and Governance Framework

Global AI Ethics and Governance Observatory

UNESCO has established the Global AI Ethics and Governance Observatory as a global resource for policymakers, regulators, academics, the private sector, and civil society to find solutions to the most pressing challenges posed by Artificial Intelligence. The Observatory:

• Showcases information about the readiness of countries to adopt AI ethically and responsibly
• Hosts the AI Ethics and Governance Lab, which gathers contributions, impactful research, toolkits, and good practices
• Provides resources to help ensure AI technologies develop with strong ethical guardrails

Recommendation on the Ethics of Artificial Intelligence

UNESCO produced the first-ever global standard on AI ethics – the ‘Recommendation on the Ethics of Artificial Intelligence’ in November 2021, applicable to all 194 member states of UNESCO.

Core Values

The Recommendation is built on four core values:

1. Human rights and human dignity: Respect, protection, and promotion of human rights and fundamental freedoms
2. Living in peaceful, just, and interconnected societies
3. Ensuring diversity and inclusiveness
4. Environment and ecosystem flourishing

Ten Core Principles

The Recommendation outlines ten core principles that lay out a human rights-centered approach to AI ethics:

1. Proportionality and Do No Harm: AI use must not exceed what’s necessary to achieve legitimate aims
2. Safety and Security: Unwanted harms and vulnerabilities should be avoided
3. Right to Privacy and Data Protection: Privacy must be protected throughout the AI lifecycle
4. Multi-stakeholder and Adaptive Governance & Collaboration: Diverse stakeholder participation is necessary for inclusive AI governance
5. Responsibility and Accountability: AI systems should be auditable and traceable
6. Transparency and Explainability: The level of transparency should be appropriate to the context
7. Human Oversight and Determination: AI systems should not displace ultimate human responsibility
8. Sustainability: AI technologies should be assessed against their impacts on sustainability goals
9. Awareness & Literacy: Public understanding of AI should be promoted through education and training
10. Fairness and Non-Discrimination: AI actors should promote social justice and take an inclusive approach

Implementation Tools

UNESCO has developed two practical methodologies to help implement the Recommendation:

1. Readiness Assessment Methodology (RAM): Helps assess whether Member States are prepared to effectively implement the Recommendation
2. Ethical Impact Assessment (EIA): A structured process to help AI project teams evaluate ethical implications

Source

• UNESCO: https://www.unesco.org/en/artificial-intelligence/recommendation-ethics