Με τη χρηματοδότηση της Ευρωπαϊκής Ένωσης. Οι απόψεις και οι γνώμες που διατυπώνονται εκφράζουν αποκλειστικά τις απόψεις των συντακτών και δεν αντιπροσωπεύουν κατ'ανάγκη τις απόψεις της Ευρωπαϊκής Ένωσης ή του Ευρωπαϊκού Εκτελεστικού Οργανισμού Εκπαίδευσης και Πολιτισμού (EACEA). Η Ευρωπαϊκή Ένωση και ο EACEA δεν μπορούν να θεωρηθούν υπεύθυνοι για τις εκφραζόμενες απόψεις. 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. 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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