Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Project number: 2023-1-NL01-KA220-HED-000155675. The guidelines provided below are based on shared guidelines such as the OECD Framework for the Classification of AI systems1, OECD’s AI Principles2, EC’s Ethics Guidelines for Trustworthy AI3, the EC’s 2022 Ethical guidelines on the use of AI and data in teaching and learning for educators4 and the recent UNESCO AI competency frameworks5. According to the guidelines and frameworks above, several key principles underpin the ethical use of AI and data in teaching, learning, and assessment. These can be categorised under guidelines related to understanding AI systems, ethical considerations, and guidelines related to practical implementation. Understanding AI Systems ● Assess Purpose: Clearly define the intended purpose of any AI tool you plan to use. Align it with your educational objectives and the needs of your students. ● Evaluate Autonomy: Determine the level of autonomy the AI system has. This will help you understand the extent of human oversight required and potential risks. ● Consider Environment: Be aware of the social, cultural, and legal context in which the AI system operates. This will help 1https://www.oecd.org/en/publications/oecd-framework-for-the-classification-of-aisystems_cb6d9eca-en.html 2 https://oecd.ai/en/ai-principles 3 https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai 4https://education.ec.europa.eu/news/ethical-guidelines-on-the-use-of-artificialintelligence-and-data-in-teaching-and-learning-for-educators 5https://unesdoc.unesco.org/ark:/48223/pf0000391104; https://www.unesco.org/en/articles/generation-ai-navigating-opportunities-and-risksartificial-intelligence-education The guidelines provided can help HE staff to understand the affordances of AI and raise awareness of the possible risks, so that all stakeholders are engaged positively, critically and ethically with AI systems to maximise their potential.
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