Using “C.A.R.E.” to evaluate AI summaries @LMULibrary
Using “C.A.R.E.” to evaluate AI summaries  @LMULibrary
Uploaded January 2026 | Updated September 2026, 3 weeks ago
It’s difficult to avoid AI summaries, but let’s be smart about it. Better yet: let’s “CARE” about it.

📝 Source: Lo, L. (2026). The CARE approach for academic librarians: From search first to answer first with generative AI. The Journal of Academic Librarianship, 52(1). doi.org/10.1016/j.acalib.2025.103186

🔨 Find our “AI-Generated Tools for Academic Research” at libguides.lmu.edu/AIresearchtools

🕵️ Look out for future “AI Explorers” workshops at libguides.lmu.edu/digcitizen
Using “C.A.R.E.” to evaluate AI summariesFaculty Pub Night: Jason Jarvis, November 10, 2020Access, Equity, and Empowerment: The Critical and Practical Case for Open Educational ResourcesCould you find AI slop in a library database?Random LMU Library MemoriesFaculty Pub Night: Douglas ChristieFaculty Pub Night: Vanessa DíazHaunting of Hannon X Teaser TrailerNew Faculty Orientation Video OuttakesFaculty Pub Night: Sean DempseyFaculty Pub Night: Timothy WilliamsonHannon Inside/Out: Interview with Marisa Ramirez
LMU Library |

Using “C.A.R.E.” to evaluate AI summaries

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER