Conference Agenda (All times are shown in Greenwich Mean Time (GMT) unless otherwise noted)

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
LIS Perspectives on AI and Designing Human-Centred AI for LIS - sponsored by SIG-AI
Time:
Friday, 27/Oct/2023:
8:00am - 12:00pm

Location: Mouton Cadet, 2nd Floor, Novotel


Time is BST (British Summer Time)


Show help for 'Increase or decrease the abstract text size'
Presentations
ID: 128 / [Single Presentation of ID 128]: 1
Workshops
4 hours, In-Person Workshop
Confirmation 1: I/we acknowledge that all session authors/presenters have read and agreed to the ASIS&T Annual Meeting Policies
Topics: Artificial Intelligence (machine learning; text mining; natural language processing; deep learning; value-sensitive AI design; transparent and explainable AI)
Keywords: artificial intelligence, machine learning, responsible AI, ethics

LIS Perspectives on AI and Designing Human-Centred AI for LIS - sponsored by SIG-AI

Andrew Cox1, Noora Hirvonen2, Dan Wu3, Daqing He4, Preben Hansen5, Shaobo Liang3

1University of Sheffield, UK; 2University of Oulu, Finland; 3Wuhan University, People's Republic of China; 4University of Pittsburgh, USA; 5Stockholm University, Sweden

This half-day workshop strengthens the AI community within ASIS&T by bringing together researchers, educators, students, and practitioners interested in the responsible use of AI and in conducting research on AI from LIS perspectives. The workshop has two streams. The first seeks to bring together all researchers studying the uses of AI in everyday life and work, and of designing, implementing, and evaluating AI applications in the context of library and information environments. The second stream seeks to identify and highlight the unique value and contribution that information science can bring to Human-centred AI (HAI), and utilize ASIS&T, which is the best scholarly communication platform for information science, as the venue to conduct, share, and record the knowledge exchange between information science and HAI. Through the World Café method of rotating breakout sessions and plenary discussion, participants will come together to identify common research questions and opportunities for collaboration. We would like to acknowledge the contributions of Preben Hansen, Stockholm University, Sweden, in preparing this workshop proposal. Additional registration fee applies.



 
Contact and Legal Notice · Contact Address:
Privacy Statement · Conference: ASIS&T 2023
Conference Software: ConfTool Pro 2.6.149+TC
© 2001–2024 by Dr. H. Weinreich, Hamburg, Germany