AI in the Real World: Strengthening Connections Between LIS Research and Practice -submission deadline: September 15, 2022

Call for Participation – AI in the Real World: Strengthening Connections Between LIS Research and Practice 

SIG AI Workshop at ASIS&T 2022 

Wyndham Grand | Pittsburgh, PA  

Saturday, October 29, 2022, 1-5 pm 

Workshop Website: https://asistaiworkshop.web.illinois.edu/ 

Submission Deadline: September 15, 2022 

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 applying 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 CafĂ© 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. 

Abstract Submissions: 

Participants who are interested in presenting at the workshop are encouraged to submit an abstract (a maximum of 500 words).  Abstracts will be peer-reviewed and those selected for presentation will be published on the workshop website. (https://asistaiworkshop.web.illinois.edu). Please submit your abstract by completing this Qualtrics form.  

We invite the submission of abstracts on AI applications in library and information environments that discuss the impact, implications, benefits, and challenges of using, designing, developing, and/or implementing AI-based solutions.  

Relevant topics for workshop contributions include (but are not limited to): 

  • AI applications in library and information environments 
  • AI solutions in libraries 
  • AI ethics, equity, diversity, inclusion, accessibility, and fairness for library and information services 
  • Human-centered AI approaches 
  • Human-AI interaction 
  • AI-powered information services 
  • AI for societal benefits 
  • AI-powered conversational assistants 
  • AI-powered recommender systems  
  • Algorithmic bias in AI 
  • AI for information search and discovery 
  • AI in learning and development 
  • Explainable AI 
  • Responsible AI 

SIG AI Best Presentation Award: The SIG AI Best Presentation will receive a prize of $100 and a certificate. The recipient must be an ASIS&T member.  

Student Support for Workshop Registration:  

SIG AI offers limited scholarships for supporting student participation in this workshop. The workshop organizers will determine which of the students get the free registrations based on the quality of submissions.  

Important Dates: 

Abstract Submissions: September 15, 2022 

Notifications: September 20, 2022 

Workshop: October 29, 2022 1-5 PM Eastern Time  

Organizers:  

Soo Young Rieh, University of Texas at Austin, USA ([email protected])  

Clara M. Chu, University of Illinois at Urbana-Champaign, USA ([email protected]

Dania Bilal, University of Tennessee-Knoxville, USA ([email protected]