(via Dr. Clara Chu–Director and Mortenson Distinguished Professor at Mortenson Center, UIUC Library)
The submissions period for the hybrid event Workshop on AI in Information Research and Practice: Fostering Interconnected Communities has been extended to Tuesday, September 7. The workshop is part of the ASIS&T (Association for Information Science & Technology) Annual Meeting, which will take place on-site in Salt City, Utah, and also online. The event lasts from Saturday, October 30, to Tuesday, November 2. More information about the conference is available on the Annual Meeting website.
The workshop itself will take place on Saturday, October 30, from 7:00 to 11:00 AM CDT. 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: Tuesday, August 30 Tuesday, September 7
Notifications: Wednesday, September 15
In-Person/Virtual registration rates for ASIS&T members and non-members can be found here.
Organizers:
Soo Young Rieh, University of Texas at Austin (rieh@ischool.utexas.edu)
Clara M. Chu, University of Illinois at Urbana-Champaign (cmchu@illinois.edu)
Dania Bilal, University of Tennessee-Knoxville (dania@utk.edu)