401: Rethinking the Citation Machine: Practical Strategies And Conceptual Problem-Areas For Acknowledging Generative AI
Session Location: SIS Founders Room T-7 | Google Map
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Date: Wednesday, August 14
Time: 03:00 PM – 3:50 PM
Presenters: Alison Thomas (Assistant Dean for Academic Integrity and Hurst Senior Professorial Lecturer)
Session Description:
This session offers practical information, strategies, and resources for citation and acknowledgement when it comes to generative AI tools. Attention will be given both to articulating clear guidance for students, and also to advice for faculty researchers who may need to acknowledge the use of AI tools in their own work. Inevitably, the practical matters will bring us to bigger-picture conversations about how to teach citation as a concept, how the practice of citation might change in light of evolving generative AI tools and the variety of ways they’re used, and what this might mean for the future of research.
Learning Outcomes:
• Identify useful resources for citing generative AI tools.
• Define student-facing guidelines for acknowledging the use of AI in submitted work.
• Develop approaches for teaching citation and referencing as a concept in order to foster flexibility in a changing information and resource landscape.
• Consider implications of generative AI tool use for citation and research in the future.
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