^{Join UCFA for “AI, Overwork, and Shared Governance,” a virtual town hall for UC faculty to discuss how to strengthen faculty AI governance and make sure we have resources we need to uphold quality UC education and research.} 

Hear from panel moderated by Aaron Bornstein (UCI, Cognitive Sciences; Irvine Faculty Association) featuring:

• Daniel Greene (University of Maryland, Information; United Academics Maryland; AAUP AI Ad Hoc Committee)
• MJ Crockett (Princeton University, Psychology) 
• Miriam Posner (UCLA, Information Studies; UCLA Faculty Association) 
• Scott Kelley (San Diego State University, Biology; California Faculty Association)

Followed by break-out group discussions and a roadmap to action. 

Faculty views about AI’s impact and potential vary. University administrators tout its role in driving efficiency, innovation, and productivity. Faculty, on the other hand, grapple with the impact of AI on the quality of undergraduate education and teaching workloads. In the midst of the challenges and excitement of this transformative moment, the question of how faculty should incorporate AI into existing shared governance structures tends to be overlooked. This townhall invites you to a conversation about AI and faculty governance in the UC system: what do faculty need to know and do in order to ensure that we govern the use and management of technology in our classrooms?