Permanent link: https://sjtylr.net/be-human/

This poster summarises some of the many ethical issues that surround the use of AI in education. It is a complement to the “Evaluate Ethics” section of (If You) USEME-AI.

BE HUMAN has the following sections:

Bias and Discrimination
Environmental Impacts
Human Agency & Rights
Use of Data & Privacy
Misinformation, Truth & Trust
Accountability & Attribution
Next Generations

The poster is a quick overview; I’m working on something with more depth and research over the Chinese New Year break.

BE-HUMAN – (If You) USEME-AI (SJTYLR)Download

Some excellent sources for learning about AI Ethics:

Leon Furze’s Teaching AI Ethics resources.
The University of Helsinki’s Ethics of AI MOOC course.
UNESCO’s Guidance on Generative AI in Education and Research and Student & Teacher Competencies (more here).

You can try the AI Environmental Footprints Estimator here.

Who Is Doing The Thinking Here – (If You) USEME-AI (SJTYLR)Download

Environmental Impacts – (If You) USEME-AI (SJTYLR) (1)Download

Cite this page: Taylor, Stephen (2026). (If You) USEME-AI: Be Human Ethical Framework. Wayfinder Learning Lab [Online]. https://sjtylr.net/be-human/

Published by

Stephen

International Educator: China via Japan, Indonesia & the UK. Director of Innovation in Learning & Teaching. Science educator. Twitterist (@sjtylr), dad and bloggerer. MA International Education & current EdD student. Experienced Director of Learning & MYP Coordinator. Interested in curriculum, pedagogy, purposeful EdTech and global competence. Find out more: https://sjtylr.net/about. Science site: http://i-biology.net.

Categories: AI, innovation, Principled Action, Professional Development

Tags: AI, AIEd, Environment, Learner Agency, sustainability

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Wayfinder Learning Lab – Stephen Taylor

BE-HUMAN: AI Ethics

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