Moya, Beatriz Antonieta2024-02-082024-02-082023-12-07https://hdl.handle.net/1880/118166https://doi.org/10.11575/PRISM/43010Generative Artificial Intelligence (GenAI) is reshaping the higher education landscape, placing academic integrity concerns at the center of the conversations in the sector. While institutions actively seek ways to protect their integrity, academic integrity experts and organizations have been sharing reflections and guidelines to navigate the new GenAI landscape in teaching, learning, and assessment practices. To contribute to the scholarly and practitioner-oriented dialogues in this area, this workshop invites participants to discuss GenAI and its capabilities and limitations. Participants will also explore key academic integrity definitions and approaches, analyze how they can help us address GenAI, identify some emerging ethical uses of GenAI, and explore alternatives to address situations involving the unauthorized use of GenAI appropriately as graduate students.enUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Attribution-NonCommercial-NoDerivatives 4.0 InternationalPresentation