
AI Ethics in Education
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AI Ethics in Education
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Lesson 1: Understanding AI In Education
This module introduces the role of artificial intelligence in education, and explains the need for thoughtful integration aligned with educational values and responsibilities.
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Lesson 2: Safeguarding, Privacy, and Risk
This module explores the safeguarding and privacy implications of using AI in schools, focusing on how these technologies interact with pupil data and professional responsibilities.
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Lesson 3: Building Safe and Responsible AI Cultures in Schools
This module examines how schools can develop a values-led approach to AI that goes beyond technical and compliance concerns, to foster a shared understanding in service of the school’s educational aims.
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Lesson 4: Risks and Safeguarding in AI-Enabled Education
This module provides a framework for understanding and responding to emerging risks associated with AI use in schools, with reference to existing UK safeguarding, data protection, and online safety guidance.
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Lesson 5: Cybersecurity and Online Safety in AI
This module explores how AI intersects with existing safeguarding practices, UK regulatory frameworks, and cybersecurity practices.
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Lesson 6: Establishing AI Safeguarding Policies for Schools
This module outlines the rationale for establishing an AI safeguarding policy, suggests key components, and offers practical steps for implementation and review.
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Lesson 7: AI in Assessment and Academic Integrity
This module explores the use of AI in marking, feedback, and pupil support, and considers the implications of AI-assisted work submitted by pupils. It also outlines strategies for designing assessments that preserve rigour and uphold trust in outcomes.
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Lesson 8: The Future of AI in Education
This final module reflects on emerging developments, the long-term impact of AI on pedagogy and practice, and the implications for school leadership, curriculum planning, and professional development.
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