NCDS Generative AI Short Course

Posted by Justin de la Cruz on August 30th, 2024 Posted in: courses
Tags: generative AI, research data services

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Our recent course, Navigating New Norms: Harnessing Generative AI for Library Services and Solutions, is now available as a standalone, self-paced offering: https://www.nnlm.gov/guides/opencourse/generativeai

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.

Led by a team of esteemed experts, this course will cover the following: First, Trevor Watkins,  Teaching and Outreach Librarian at George Mason University, will teach the historical context and development of generative AI, its intended purpose, and potential implications along with real-world examples. Second, Dr. Kellie Owens will share her expertise in data ethics and lead discussions on 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.

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.

Class Objectives

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.