...in developing AI applications and solutions.
...opportunities and challenges in AI research and development.
...impacts of AI applications and development.
SIG AI Workshop @ ASIS&T 2022
Wyndham Grand | Pittsburgh, PA
Saturday, October 29, 2022, 1-5 pm ET
Artificial Intelligence has been increasingly deployed in library and information environments and its application is rapidly expanding across user services, collection development, and library management, resulting in enhanced information search and discovery, more usable and accessible collections, and robust decision-making. The workshop builds on and extends the 2021 workshop to strengthen the ASIS&T AI community by bringing together researchers, educators, students, and practitioners interested in designing AI applications and conducting AI research in the LIS field. The goal of this workshop is to build an active community of researchers, educators, practitioners, and students who are committed to apply AI technologies effectively and innovatively in library and information environments.
This workshop covers a wide range of topics, including but not limited to, AI applications, solutions, empirical research findings, and perspectives in library and information environments. The participants will discuss lessons learned from using, designing, implementing, and/or evaluating AI applications and solutions in the context of library and information environments and work together to brainstorm potential solutions for making AI more effective and transferable for library users. Through the World Café method (i.e., collaborative dialogue with rotating multiple breakout sessions that build on each other so that issues are considered in-depth) and plenary discussion, participants will generate innovative ideas for advanced AI solutions and research agendas for future investigations. This workshop is in collaboration with SIG AI.
Soo Young Rieh, University of Texas at Austin, USA (firstname.lastname@example.org)
Clara M. Chu, University of Illinois at Urbana-Champaign, USA (email@example.com)
Dania Bilal, University of Tennessee-Knoxville, USA (firstname.lastname@example.org)