The University of Cincinnati Libraries has been selected to participate in a cohort organized by Ithaka S+R to consider how existing information literacy frameworks can be adapted or revised to reflect AI-driven transformations.
According to Ithaka S+R: “Each participating institution will conduct qualitative research to understand the changing information practices and needs of students and instructors, using instruments developed in consultation with methodological experts at Ithaka S+R. Working in collaboration with Ithaka S+R and in conversation with other cohort members, participating institutions will identify how libraries and other university units can weave AI literacy into their existing operations, leveraging programs or initiatives that center on information, digital or meta literacy.”
Representing UC will be Madeleine Gaiser, online learning and instruction librarian, Lynn Warner, research and health sciences librarian, and Daniel Dale, assistant director of the Center for Excellence in Teaching and Learning (CET&L). Lori E. Harris, UC Libraries associate dean for research & instruction, will serve as administration liaison. The outcome of this work will be curriculum for an AI literacy workshop, which will be offered on an ongoing basis to the UC community.
“Supporting AI literacy is an extension of the important role that libraries and librarians fill in the information environment,” said dean and university librarian Liz Kiscaden. “Like our role in supporting information literacy, data literacy and digital literacy, supporting AI literacy will prepare our students and faculty to succeed in a new information economy. We are excited to be a part of the Defining AI Literacy cohort organized by Ithaka S+R, particularly as we will be undertaking this work with such a strong cohort of peer institutions.”
Ithaka S+R is a not-for-profit organization that helps academic and cultural communities serve the public good and navigate economic, technological and demographic change. Their work also aims to broaden access to higher education by reducing costs and improving student outcomes.
The AI cohort’s work will commence in April and is estimated to conclude in May 2026.