Artificial intelligence is already changing how libraries do their work—from everyday assessment to large-scale digitization and access projects. In this joint session, we’ll start with practical ways generative AI can strengthen library assessment. You’ll see examples of how AI tools can help generate assessment questions and ideas, speed up analysis, and produce clear, professional narratives and reports—while also addressing what AI can and can’t do.
Next, we’ll shift to a real-world case study: the BYU Law Library’s effort to transcribe the 1925 U.S. Code. We’ll walk through why the project matters, how the team approached accuracy at scale, what changed along the way, and how human transcription quality paired with AI-assisted cleanup made the goal achievable.
We’ll conclude together with shared takeaways on the limits of AI, the continuing importance of human judgment, and practical guidance for adopting AI in library workflows with confidence and care.
