Session Information Date: Friday, May 12 Time: 2pm - 3:30pm PT Location: Zoom   🌟 Register here for Zoom link 🌟   Session Description Join us for a series of 5-minute flash talks by faculty and graduate & undergrad students discussing the potential uses of generative AI in teaching and learning. This event aims to explore [...]

Session Information Date: Monday, May 15 Time: 12pm - 1:30pm PT Location: Zoom (Register for Zoom link) Session Description How can we leverage AI to support authentic learning while also mitigating potential harm to learning?  This is a national conversation happening across higher education, and the applications vary across disciplines. When it comes to programming, [...]

Course Design Opportunities with AI Join us to explore some of the ways to leverage AI to find resources, design assignments, give students feedback and improve student writing. This event is one of many events hosted during the month of May on "AI in Action: Exploring AI's Potential in Teaching and Learning". Monday, May 16th, [...]

Session Information Date: Wednesday, May 17 Time: 12pm - 1pm PT Location: Zoom (Register for Zoom link) Session Description Many of us have come across AI assisted technology from time to time, like spelling and grammar checks and the suggested words on your smartphone while texting. And some may have used the suggestions from the [...]

Session Information Date: Thursday, May 18 Time: 10am - 11am PT Location: Zoom (Register for Zoom link)  Session Description As generative AI has become more sophisticated, new tools have emerged aiming to detect its use. Join us to learn about some of these AI detection tools, their flaws, and why UCLA has not yet embraced [...]

Session Information Date: Friday, May 19 Time: 11am - 12pm PT Location: Zoom (Register for Zoom link) Session Description In this interactive workshop, participants will learn about the importance of transparency in designing assignments that use generative AI. We’ll explore practical strategies for incorporating ethical considerations and ensuring fairness in AI-based assignments while promoting student [...]