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Date of Award
5-6-2026
Document Type
Video Recording
Abstract
The rapid emergence of artificial intelligence presents academic libraries with both opportunity and uncertainty. This session introduces a learning-first approach to AI exploration developed at the University of Miami Libraries, designed to build internal capacity and shared understanding before committing to production-level services. Beginning with a proof-of-concept AI-powered search interface, the project provided hands-on experience with generative AI APIs, prompt engineering, and knowledge retrieval systems. Key insights included the volatility of the AI ecosystem, model inconsistency, API instability, and long-term maintenance challenges. These lessons informed a strategic pivot toward managed AI platforms that prioritize accessibility, sustainability, and institutional comprehension. The session presents a practical framework for designing AI initiatives that maximize learning, identify pivot points, and build organizational buy-in.
Recommended Citation
Samarakoon, Dhanushka, "Designing AI Exploration for Maximum Learning: A Practical Framework for Academic Libraries" (2026). 2026 Southeastern Conference (SEC) AI Library Summit. 2.
https://scholarsjunction.msstate.edu/sec-ai-2026/2
