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Call for Participation - Workshop on AI in Information Research and Practice: Fostering Interconnected Communities

SIG AI Workshop at ASIS&T 2021

Salt Lake City, UT, USA. Hybrid

Saturday, October 30, 2021, 8 AM - 12 PM Mountain Time

This half-day workshop aims to support and advance an ASIS&T artificial intelligence (AI) community by connecting AI research and practice in library and information environments. We invite a broad range of participants who are engaged in developing AI applications and solutions, or study their impacts and/or interested in learning about the opportunities and challenges in AI research and 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.

This workshop is sponsored by ASIS&T's new Special Interest Group on Artificial Intelligence (SIG AI).


Abstract Submissions:

We encourage participants to submit an extended abstract (a maximum of 500 words), which will be published at the workshop website. Submission of an abstract is highly recommended, but not required. Only participants who submit an abstract will have an opportunity to present a lightning talk at the workshop. Please submit your abstract by completing this Qualtrics form.

Abstract may cover one or more aspects of AI including research questions, empirical findings, methodological approaches, applications, solutions, best practices, tools, products, discussion on a specific issue, future directions, and impact and challenges of AI in library and information environments.

  • Topics include, but are not limited to:
  • AI applications in library and information environments
  • AI ethics, equality, and fairness
  • Human-centered AI
  • Human-AI interaction
  • AI literacies
  • AI and learning analytics
  • AI-powered information services
  • Value-sensitive AI design
  • AI for societal benefits
  • AI digital assistants
  • Algorithmic bias in AI
  • Transparent and explainable AI
  • AI for search and discovery


Important Dates:

Abstract Submissions: September 7, 2021

Notifications: September 15, 2021

Workshop: October 30, 2021 8 am - 12 pm Mountain Time

In-Person/Virtual registration rates for ASIST members and non-members can be found here: www.asist.org/am21/registration. Workshop rates will increase by $25 after August 13.

Organizers: 

Soo Young Rieh, University of Texas at Austin, USA (rieh@ischool.utexas.edu)

Clara M. Chu, University of Illinois at Urbana-Champaign, USA (cmchu@illinois.edu)

Dania Bilal, University of Tennessee-Knoxville, USA (dania@utk.edu)