AI Policy Implementation Case Study

From AI anxiety to operational practice

Libraries need AI policies that staff can put into practice. I designed and delivered a three-session workshop that connected policy drafting with tool review, staff training, and implementation planning. The Human-AI-Human model keeps privacy, accuracy, and professional judgment explicit throughout the work. This case study documents the method, reusable materials, and adaptation to a webinar and conference presentation. It shows what was delivered; it does not claim that participating libraries adopted board-approved policies.

State of AI in Libraries Report

Research to support practical policy decisions

AI raises questions about staff work, patron privacy, collection development, and vendor responsibility. I developed this report under my editorial direction, with Codex assisting research, drafting, and layout, to bring published evidence and practical examples together for U.S. public libraries. It distinguishes individual use from institutional implementation and connects policy requirements to decisions libraries can document and revisit. The September 2026 report includes 17 references, recommendations, and clearly labeled predictions. It is a research synthesis, not a national adoption survey or an evaluation of service impact.

AI agents for libraries

I help libraries work through their workflows, identify where AI will be useful, and set up systems with privacy, human review, and cost-effectiveness in mind. See how I approach those decisions in my own agent setup.