Date: Tuesday, May 19, 2026, 1:00pm–3:00pm
All MLA ’26 CE courses will take place on Tuesday, May 19, 2026, in Milwaukee, WI. Courses are not available virtually.
MLA ’26 registration will open in January 2026.
Rather than trying to chase every new AI tool or headline, librarians need durable, transferable skills for evaluating AI, integrating it responsibly, and supporting users who bring AI into their work. This course focuses on practical approaches to AI literacy—helping health sciences librarians understand what these tools can do, where they fall short, and how they can be meaningfully applied across teaching, research support, scholarly communication, and internal library workflows.
You’ll leave with clear, adaptable strategies for evaluating AI tools, applying effective prompting techniques, and guiding students, faculty, and clinicians in responsible use. This session is designed to help medical and health sciences librarians bring grounded, practical AI literacy into their professional practice.
You’ll need to bring a laptop computer with Wi-Fi capability to participate in the course.
Learning Objectives
By the end of this course, participants will be able to:
- Identify practical applications of generative AI in teaching, research support, scholarly communication, and library operations.
- Evaluate AI tools and AI-enabled features for accuracy, limitations, and responsible use in medical and health sciences contexts.
- Apply effective prompting strategies to develop and refine AI-supported workflows for real library tasks.
- Guide students, faculty, and clinicians in the effective and ethical use of AI tools within educational and research environments.
Facilitator
Laura Hall, MFA, MBA, Division Head for Resources, Archives & Discovery at the University of New Mexico’s Health Sciences Library & Informatics Center, leads UNM’s AI Crossroads program, offering faculty, staff, and students practical guidance and timely conversations on AI. From 2023–2025, she co-led UNM’s work on Ithaka S+R’s national Making AI Generative for Higher Education research project and has presented widely on generative AI in higher education and health sciences settings. Drawing on real-world library experience, Laura will lead participants through demonstrations, case studies, hands-on activities, and a collaborative mini “promptathon” designed to build fluency and practical skills.
MLA CE credits: 2
Course Includes
- 4 Lessons
- Course Certificate