The Guidelines on the Ethical Use of Artificial Intelligence and Data in Teaching and Learning for Educators provide practical guidance for teachers and educators on the responsible use of AI and data in education. They address issues such as AI literacy, data protection, transparency, bias, human oversight, inclusiveness and ethical decision-making, while also connecting educational practice with the AI Act and GDPR.
Why it matters for ENACT-AI
The resource is highly relevant to ENACT-AI because it promotes critical and responsible engagement with AI in educational contexts. It encourages educators to question AI outputs, consider bias and limitations, protect personal data and maintain human responsibility when using AI systems.
Learning outcomes
Learners will be able to:
Explain key ethical considerations related to AI and data in education.
Identify risks related to bias, privacy, transparency and reliability.
Critically evaluate AI tools and their outputs.
Understand the importance of human oversight and professional responsibility.
Apply ethical principles when selecting or using AI tools for teaching and learning.
Recognise how AI use in education relates to the AI Act and GDPR.
Suggested activity
Ethical AI Tool Evaluation:
Learners select an AI tool used in education and evaluate it using the principles and guiding questions from the guidelines. They consider issues such as data privacy, bias, reliability, transparency, inclusiveness and educational value. Groups then compare their evaluations and decide whether the tool should be used, under what conditions and with which safeguards.