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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).

 
 
Session Overview
Session
Artificial Intelligence in Information Research and Practice: Fostering Interconnected Communities (SIG-AI)
Time:
Saturday, 30/Oct/2021:
8:00am - 12:00pm

Location: Salon C, Lobby Level, Marriott


External Resource:
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Presentations
ID: 246 / [Single Presentation of ID 246]: 1
Workshops
4 hours
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Confirmation 2: I/we further agree presenting authors/panelists who have not registered on or before the early bird registration deadline will be removed from the conference program, and their paper will be removed from the Proceedings.
Confirmation 3: I/we acknowledge that all session authors/presenters have read and agree to the ASIS&T Annual Meeting Policies found at https://www.asist.org/am21/submission-types-instructions/
Topics: Library and Information Science
Keywords: Artificial Intelligence in library and information science; AI applications in library and information environments

Artificial Intelligence in Information Research and Practice: Fostering Interconnected Communities (SIG-AI)

Soo Young Rieh1, Clara M. Chu2, Dania Bilal3

1The University of Texas at Austin, USA; 2University of Illinois at Urbana-Champaign, USA; 3University of Tennessee, Knoxville, USA

This half-day workshop aims to support and advance an ASIS&T AI community by connecting AI research and practice in library and information environments. We invite a broad range of participants who are already engaged in developing AI applications and solutions and are interested in learning about the opportunities and challenges in AI research, by discussing how to integrate empirical research findings into AI development. Through a panel discussion, lightning talks, a brainstorming session, breakout group conversations, and a plenary discussion, the workshop will provide an opportunity for participants to obtain feedback on preliminary and ongoing work, identify pressing challenges and critical questions of AI in library and information environments, and develop new research problems and approaches.