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This past year has seen lots of buzz about artificial intelligence (AI), particularly generative AI. And with large corporations launching affordable APIs as well as developing software to access trained large language models, there has been widespread adoption and use of AI across industries. This E-Forum explores AI and libraries: how such large language models might impact libraries in internal workflows, patron services, access to collections, information literacy training, and ethical practices; how it might impact society and what libraries can do to respond; and how libraries can best use this new availability of generative AI.
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At the end of this e-Forum, attendees will be able to:
- Explain what generative artificial intelligence is;
- Understand what libraries are doing to educate about or create programming around artificial intelligence; and
- Understand how artificial intelligence might impact libraries, for example, with new workflows, or by integrating with tools libraries already use.
Who Should Attend
Anyone interested in how generative artificial intelligence and large language models will impact libraries.
Mary Aycock is the Database and Metadata Coordinator at Texas State University Libraries. Throughout her career, she has been interested in how technology can facilitate efficiencies in metadata work. In the last few years, her interest in and study of AI has resulted in her participating as a fellow in the 2022 IDEA Institute on Artificial Intelligence. She has also served as chair of the CORE Artificial Intelligence and Machine Learning in Libraries Interest Group.
Wilhelmina Randtke has a background in law and technology. Her past roles include legal research, technology oversight, and product manager for cloud based publishing software. She is currently Head of Libraries Technologies and Systems at the Georgia Southern University Libraries overseeing in-building technology and online presences. She has published and presented extensively on impacts of technology on publishing and law.
Claudia Engel collaborates with researchers on digital research projects in the Anthropology Department at Stanford University, where she also is a lecturer and teaches courses in GIS, Digital Methods, and Critical Data Practices. She is a member of the Research Data Services Division and the Center of Interdisciplinary Digital Scholarship at the Stanford Libraries. In that role she supports Humanists and Social Scientists in the use of digital data repositories.
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