Conference Agenda (All times are shown in Mountain Daylight Time (MDT) unless otherwise noted)
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Enhancing Library and Information Science with Large Language Models (LLMs): Research, Education, Practice (SIG-AI)
Time:
Friday, 25/Oct/2024:
1:00pm - 5:00pm
Location:Imperial Ballroom 2, Third Floor
Presentations
ID: 402 / [Single Presentation of ID 402]: 1 Workshops 4 hours, In-Person Workshop Confirmation 1: I/we acknowledge that all session authors/presenters have read and agreed to the ASIS&T Annual Meeting Policies Topics: Human-Computer Interaction (usability and user experience; human-technology interaction; human-AI interaction; user-centered design) Keywords: Large Language Models, Library, Education, Professional practice, Research
Enhancing Library and Information Science with Large Language Models (LLMs): Research, Education, Practice (SIG-AI)
1The University of Alabama, USA; 2University of Oklahoma, USA; 3University of Washington, USA; 4Kent State University, USA
This half-day workshop aims to enhance the Library and Information Science (LIS) community's engagement with Large Language Models (LLMs) such as ChatGPT, LLaMA, BERT, and other advanced artificial intelligence (AI) technologies. We seek to foster collaboration among researchers, practitioners, educators and students for the impactful integration of LLMs within LIS fields. The workshop will enable attendees to share their experiences evaluating and applying LLMs in various professional activities and highlight challenges and opportunities from the LIS perspectives. Through a mix of a keynote talk, four paper presentations, a series of lightning talks, and two rounds of collaborative discussions, this workshop aims to contribute to the development of evidence-based strategies for integrating LLMs into LIS research, practice, and education. This workshop is sponsored by SIG AI. Additional registration fee applies.
