These AI principles for teachers emphasize a human-centered and inclusive approach to integrating AI in education.
- Inclusive Digital Futures: Teachers play a key role in balancing human-technology relationships and fostering human development. They must critically evaluate AI’s benefits and risks, ensuring ethical use while addressing privacy, indigenous knowledge, and social cohesion.
Approach: AI should enhance inquiry, intellectual growth, and transversal skills. - Human-Centered AI: AI should support human capacities and sustainable development. Teachers are responsible for ensuring AI models are explainable, safe, and inclusive, focusing on social inclusion and cultural pluralism.
Approach: Promote inclusivity across gender, ethnicity, and underserved groups. - Teacher Empowerment and Roles: Teachers’ roles should be preserved, collaborating with AI rather than being replaced by it. Policies must equip teachers with AI tools for adapting to AI-rich environments.
Approach: Empower teachers as collaborative knowledge producers and guides to citizenship in the AI era. - Trustworthy and Sustainable AI: AI tools must be validated for safety, trustworthiness, and minimal environmental impact. Institutions, not teachers, should govern the ethics of AI use.
Approach: Providers must ensure transparency, performance, and impact of AI tools. - Applicability for All Teachers: AI literacy and access should be part of basic rights in the AI era. AI competencies should be integrated into national curricula, with accessible technology from unplugged to AI-rich environments.
Approach: Develop AI competencies, curricula, and training programs to support teachers. - Lifelong Professional Learning: Ongoing professional development is essential for teachers to stay up-to-date with AI advances. Policies should support practical, continuous learning, and cocreation of AI-enhanced educational experiences.
Approach: Peer-coaching and agile learning communities can foster responsive AI evolution.
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