Practical AI Literacy for Libraries

Patrons increasingly arrive at the reference desk with AI‑generated summaries, citations, and images, unsure what to trust or how to credit what they have used. At the same time, library staff are asked to "e;integrate AI"e; while upholding long‑standing commitments to privacy, transparency, and intellectual freedom.Practical AI Literacy for Libraries offers vendor‑neutral ways to bring generative systems into everyday practice without turning the library into a product showroom. Through examples from public, academic, and school libraries, it walks through concrete workflows for checking AI‑generated outputs against reliable sources, capturing provenance, and documenting what was reviewed, rejected, or accepted.Chapters present repeatable methods for verification, citation, and AI‑aware documentation in research guides, teaching materials, catalog records, and discovery systems. Guidance on privacy‑aware data handling helps staff weigh trade‑offs when experimenting with prompts, uploads, and integrations, while metadata discussions highlight interoperable schemas and lending platforms that can signal AI involvement without overstating its authority.A closing toolbox gathers adaptable templates, prompts, and evaluation rubrics that support instruction sessions, internal policy work, and collaboration with educators and independent authors. The result is a set of platform‑agnostic practices that fit into existing workflows and respect both patrons and the scholarly record.