AI Squared: Academic Integrity and Artificial Intelligence
February 19, 10:00–11:00
Online
Presenter: Tina Huey, CETL-Faculty Development
Join Assistant Director of Community Standards, Brian J. Goepfrich for an engaging and informative session on the evolving role of Generative AI, especially Large Language Model tools, in academic settings. This presentation will cover key topics to help faculty better understand and navigate these emerging technologies in the classroom while upholding academic integrity.
Key topics include:
• Understanding Generative Artificial Intelligence (GAI) and Large Language Models (LLM): Learn the basics of these tools, their potential uses, and the challenges they pose in academic environments.
• Fostering Positive Use: Explore strategies for incorporating Generative AI tools constructively to enhance learning while maintaining academic integrity.
• Setting Clear Expectations: Discover best practices for establishing course guidelines regarding the use of AI tools to promote transparency and fairness.
• Addressing Misuse: Understand how to handle Generative AI or Large Language Models misuse in violation of Academic, Scholarly, and Professional Integrity and Misconduct Policy.
• Student Perspective: Gain insight into how students view and use these technologies, presented from a graduate student’s viewpoint.
• University Statistics: Review relevant university data on the impact and prevalence of AI tool usage in cases referred for academic misconduct.
Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3387
For more information, contact: Stacey Valliere at stacey.valliere@uconn.edu