Use the Recommendation's Policy Action Areas to translate AI ethics values into policy across education, data governance and other spheres¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The page recommends that policymakers use the Recommendation's extensive Policy Action Areas to move from principles to implementation. It states that these areas "allow policymakers to translate the core values and principles into action" with respect to "data governance, environment and ecosystems, gender, education and research, and health and social wellbeing, among many other spheres". For education stakeholders, the education and research action area is the direct entry point for applying the ethics standard to learning systems.

Design Implications¶

Context¶

Requirements¶

• Policymakers able to enact policy measures within the named action areas

Constraints¶

Target Learners¶

• policy-makers
• governments
• education administrators

Target Learning Goals¶

• designing ethical AI policy for education and research

Related Strategies¶

• Establish comprehensive institutional AI governance frameworks including task forces, roadmaps, and transparent policies
• Ground AI integration in higher education on core principles of human agency, academic freedom, transparency, ethics, inclusivity, and critical thinking
• Adopt a systems approach to AI integration rather than spotlights or gaps
• Cross-stakeholder policy, research, and practice actions for collaborative AI initiatives in education

Examples¶

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Key Sources¶

• UNESCO. (2022). Recommendation on the Ethics of Artificial Intelligence. UNESCO. https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence?hub=195885