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. Αριθμός Έργου: 2023-1-NL01-KA220-HED-000155675. ● Student Engagement: Involve students in the decisionmaking process regarding AI use in the classroom. Encourage them to explore AI responsibly and participate in discussions about its potential benefits and risks. ● Ethical Dilemmas: Be prepared to address ethical dilemmas that may arise from AI use and have a plan for responding to such situations. Develop a culture of open discussion and ethical decision-making in the classroom. ● Promote AI Literacy: Integrate AI literacy into your curriculum, encouraging students to understand how AI works, its potential benefits and risks, and how to use it responsibly. ● Discuss with colleagues: Collaborate with other educators to make more informed decisions and ensure a more consistent approach to using AI and data systems across schools. ● Collaborate with other schools: Share experiences and best practices and learn how other schools have implemented AI systems. This can also be useful in identifying and dealing with reliable providers of AI and data systems that adhere to the key requirements for trustworthy AI. Figure 1 below presents a proposed framework that outlines the key principles for ethical and effective AI use in HE. A strong foundation in understanding AI systems is crucial, as it enables educators to assess the purpose, autonomy, and environmental context of AI tools. Building upon this foundation, ethical considerations, such as ensuring beneficial use, transparency, fairness, privacy, and human agency, must guide the implementation of AI. Finally, practical guidelines, including professional development, critical evaluation, student engagement, addressing ethical dilemmas, promoting AI literacy, and fostering collaboration, provide a roadmap for
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