Ethics in Education
Teaching AI Ethics
Exploring the ethical dimensions of artificial intelligence in education — from bias and privacy to labour rights and environmental impact.
Image: Yutong Liu / Better Images of AI / Joining the Table / CC-BY 4.0
About the Series
The Teaching AI Ethics series presents nine key areas of ethical concern in artificial intelligence, providing practical ways to discuss these issues across a variety of subject areas. Originally published in 2023, the series is being updated for 2025–26 with new research, case studies, and teaching resources.
Each article examines a different ethical dimension — bias, environment, truth, copyright, privacy, data, emotions, human labour, and power — and connects it to existing curricula in subjects from English and History to Computer Science and Visual Arts.
Open Access eBook
Teaching AI Ethics: A Guide for Educators
A comprehensive guide to teaching the ethical dimensions of artificial intelligence across the curriculum. Free to download and share.
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Teaching AI Ethics 2026: Emotions and Social Chatbots
In 2023, the concern was AI systems that read our emotions. In 2026, the greater danger is AI systems designed to manipulate them. Social chatbots foster emotional dependency, with devastating consequences for young people.
Teaching AI Ethics 2026: Human Labour
The human cost of AI has become one of the most pressing ethical issues. Major lawsuits, union formation, and investigative journalism have brought the exploitation of workers into public view.
Teaching AI Ethics: Data 2025
Data has become the de-facto currency of the digital age. Every interaction with technology generates data that companies collect, analyse, and monetise — and the scale has exploded with GenAI.
Teaching AI Ethics: Privacy 2025
As generative AI becomes embedded in our daily digital lives, the privacy implications have grown more complex and immediate. The illusion of privacy in AI chatbots masks a troubling reality.
Teaching AI Ethics: Copyright 2025
We're no longer debating hypotheticals. We're watching billion-dollar lawsuits conclude, governments choose sides, and the creative industries fight back against Big Tech.
Teaching AI Ethics 2025: Bias
This instalment revisits the theme of bias in generative AI, explaining how data bias, model bias, and human bias interact to produce skewed or discriminatory outputs.