Available Until 2/26/2025
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Navigating New Norms: Harnessing Generative AI for Library Services and Solutions*

For more information to to schedule this course, please contact the NNLM Training Office at nto@utah.edu . 

In a rapidly evolving technological landscape, libraries are leveraging generative artificial intelligence to enhance their services and adapt to changing user behaviors and needs. This short course of 4 required sessions, is designed to equip librarians with the knowledge and skills needed to automate efforts in advancing analytics, creating content, and answering library users' questions. Register to embark on a journey exploring the nuts and bolts of generative AI, from its foundational concepts to practical applications in library settings.

Led by a team of esteemed experts, this course will cover the following: the historical context and development of generative AI, its intended purpose, and potential implications along with real-world examples; data ethics and ethical concerns surrounding generative AI, data privacy, ownership, and security. The last two sessions move beyond theoretical understanding, offering hands-on experiences during practical sessions, providing participants with firsthand experience in utilizing common generative AI tools and learning about how to implement the use of these systems for library work on the front and back end. From cataloging to chatbots, participants will discover how AI is revolutionizing library services while learning about resources for continued learning and professional growth. Join us where innovation meets ethical responsibility on this transformative journey into the world of generative AI.

Resource URL: [Pending] 

Learning Objectives

  1. Define key concepts related to generative AI, including neural networks and deep learning.
  2. Apply real-world applications of generative AI in library settings.
  3. Apply best practices for effective utilization of generative AI systems.
  4. Evaluate ethical considerations and inclusion strategies in the deployment of generative AI library services and instruction.
  5. Develop next steps for integrating generative AI into library operations, leveraging use cases and discussions as inspiration for innovation.

Agenda

April 1, 2024/Session 1 (90 minutes): This session will teach the historical context and development of generative AI, its intended purpose, and potential implications along with real-world examples.

April 8, 2024/Session 2 (90 minutes): This session will cover data ethics and ethical concerns surrounding generative AI, data privacy, ownership, and security.

April 15, 2024/Session 3 (90 minutes): This session will provide hands-on experience with common Generative AI tools and engage learners in exercises practicing ways of making use of these tools, preventing and avoiding common pitfalls, and implementing out-of-the-box solutions.

April 22, 2024/Session 4 (90 minutes): This session will focus on the applicability of generative AI in libraries, including providing use cases and success stories. Participants will learn about leveraging AI in library programming, chatbots and virtual assistants in libraries, and future trends.

MLA CE Credits: 6