Navigating New Norms: Harnessing Generative AI for Library Services and Solutions
Class Experience Level
Beginner, Intermediate, Advanced

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This is a 4-part class. Due to limited space, please only register if you can commit to all 4 sessions. When you register on this page, you will be registered for all 4 sessions.

In a rapidly evolving technological landscape, libraries are leveraging generative artificial intelligence to enhance their services and adapt to changing user behaviors and needs.  "Navigating New Norms: Harnessing Generative AI for Library Services and Solutions" is a short course 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.  The first two sessions provide background on the history and ethics of generative AI. 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.

This is a 4-part class. Due to limited space, please only register if you can commit to all 4 sessions. When you register on this page, you will be registered for all 4 sessions.

CE credit is only awarded after attending all 4 sessions. 

Led by a team of esteemed experts, this course will cover the following: 
All sessions start at 11PT/12MT/1CT/2ET. Check the time in your area: 

  • April 1, 2024/Session 1 (90 minutes): Introduction to Generative AI
    Trevor Watkins, Teaching and Outreach Librarian at George Mason University, will present about the development of generative AI, its intended purpose, and potential implications.
  • April 8, 2024/Session 2 (90 minutes): Ethical Considerations for Generative AI Now and Into the Future
    Dr. Kellie Owens Assistant Professor of Population Health at NYU Grossman School of Medicine, will discuss ethical concerns surrounding generative AI.
    Due to the overlap with the total solar eclipse for some locations, this session will be recorded and shared with registrants who cannot make it.
  • April 15, 2024/Session 3 (90 minutes): Generative AI Hands-On Experiences and Applications
    Michael Flierl, Student Learning Librarian at The Ohio State University Libraries, will provide hands-on experience and best practices in the use of common Generative AI tools.
  • April 22, 2024/Session 4 (90 minutes): Application of Generative AI in Libraries
    Fred LaPolla, Data Education Lead and Research & Data Librarian at NYU Health Sciences Library, will focus on the applicability of generative AI in libraries, providing use cases and success stories.

This presentation meets the NLM/NIH strategic plan goals of (a) accelerating discovery & advancing health by providing the tools for data driven research and (b) building a workforce for data-driven research and health. The presentation addresses health information resources and data and increasing health information access and use by including information about ethics and best practices for use of generative AI in libraries.

By registering for this class, you are agreeing to the NNLM Code of Conduct


By the end of the sessions, learners will be able to:

  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.
Class Resources:
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Class Details

Date(s): April 1, 2024 - April 22, 2024
Time: 2:00 PM - 3:30 PM EDT
Platform: Zoom
CE Credits: 6.00
CE Categories: MLA, DSS Level 1
Class Experience Level: Beginner, Intermediate, Advanced
This class is sponsored by NCDS.
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This class is full