As AI technologies continue to rapidly evolve, how can universities make
strategic decisions about when and how AI can support student learning and faculty research? Ithaka
S+R, a not-for-profit research organization, is partnering with 20 universities committed to making AI
generative for their campus communities to develop and implement institution-specific strategies for
integrating AI into higher education. In this presentation, we will share early insights into key issues
raised by generative AI and discuss strategies for harnessing the technology in the longer term.
To join the meeting: https://us06web.zoom.us/j/84878229290
Dylan Ruediger is program manager for the research enterprise at Ithaka S+R,
where he leads a team helping universities, funders, lawmakers, and scholars develop evidence-based
responses to the technological, cultural, and political change that shape the production and circulation
of scholarly knowledge. Prior to joining Ithaka S+R, Dylan coordinated a national initiative to better align
doctoral education with changing professional opportunities within and beyond the academy at the
American Historical Association. He holds a PhD in history from Georgia State University and a BA in
critical theory from Hampshire College.
Claire Baytas is an Analyst at Ithaka S+R, whose work focuses on the academic
research enterprise. Prior to joining S+R, Claire completed a PhD in Comparative Literature at the
University of Illinois, where she also taught undergraduate humanities courses and participated in a
French-American collaborative digital humanities project.