Artificial intelligence is increasingly embedded in academic research databases, reshaping how researchers discover and use information. This article provides a broad overview of current AI applications in electronic research databases and discusses a framework (REACT) used for evaluating their effectiveness, usability, and alignment with institutional values. Additionally, it outlines the findings from a multi-institutional survey designed to examine how libraries are approaching the licensing, adoption, and policy development and evaluation of AI enabled research tools.
No takes yet. Share an insight, caveat, or question.
Tatterson et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: