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The AI competency  framework for students is designed to guide policy-makers, educators and curriculum developers in equipping students with the necessary skills, knowledge and values to engage with AI effectively. It focuses on four core competencies:

• A human-centred mindset: Encouraging students to understand and assert their agency in relation to AI.
• Ethics of AI: Teaching responsible use, ethics-by-design and safe practices.
• AI techniques and applications: Providing foundational AI knowledge and skills.
• AI system design: Fostering problem-solving, creativity and design thinking.

The framework encourages integrating AI-related topics into core subjects across the curriculum, emphasizing interdisciplinary learning in both STEM and the social studies.

What does the AI competency framework for teachers cover?

The AI competency framework for teachers is focused on lifelong professional development for teachers, offering a reference framework for national competency development and training programmes. It aims to ensure that teachers are equipped to use AI responsibly and effectively while minimizing potential risks to students and society. The five key competency areas are:

• A human-centred mindset: Focusing on human agency, accountability and social responsibility.
• Ethics of AI: Promoting ethical principles and responsible use.
• AI foundations and applications: Providing the knowledge, understanding and skills needed to create and use AI.
• AI pedagogy: Supporting teachers in leveraging AI for innovative teaching methods.
• AI for professional development: Outlining teachers’ capacities to leverage AI for driving their own lifelong professional development. 

The framework emphasizes that AI tools should complement, not replace, the vital roles and responsibilities of teachers in education.