The library has curated resources for faculty and staff focusing on artificial intelligence (AI) in academia. These resources aim to address ethical AI development, its impact on research, academic integrity, and classroom integration. Staff resources aim to broaden AI understanding and its practical use in workflows, highlighting its transformative effect on professional practices. This collection ensures the academic community is well-equipped to navigate AI advancements responsibly and innovatively, fostering an environment that upholds ethical standards and academic integrity in this evolving technological landscape.
KSL librarians are available to consult with you on your research projects or provide information- and AI-literacy instruction sessions for your classes. Visit our Library Instruction page to request these services.
Research databases and other subscription-based and library-licensed tools are increasingly adding AI components and features to their platforms. We'll compile new developments that may aid in your research as they become available. If you are interested in an AI-enhanced tool the library does not have, please contact us to let us know!
The use of library-acquired content and materials (journal articles, eBooks, chapters, etc.) in Generative AI models, LLMs, RAGs, etc. may be restricted by licensing agreements and copyright laws. Pending court cases and legislation will continue to shape how copyright law and AI interact. There may be instances where certain material can be used in closed Case environments only, and CWRU libraries and the OhioLink consortium are investigating the potential to add language in licensing agreements to allow certain content to be used in closed AI environments, but that work is in development.
We recommend contacting the library before using any library-licensed content in Generative AI Models, LLMs, RAGs, etc.