The 6th International Workshop on Democracy & AI
๐ Montreal, Canada ๐จ๐ฆ
๐ August 16โ22, 2025
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INTRODUCTION
Recent technical advances in areas such as machine learning (deep learning), natural language processing, and multi-agent systems have greatly expanded the use of artificial intelligence (AI) applications in our daily lives. AI-driven systems are transforming the way we process, monitor, and manage data and services, offering innovative solutions for evidence-based policy planning and decision management.
AI offers enormous potential to boost efficiency and improve decision-making by processing large amounts of data. For example, it can help strengthen democratic processes by delivering better public services and customizing services for citizens. However, alongside these benefits, AI may pose risks to individuals, organizations, and society as a whole.
One significant concern is that machines lack accountability and can make decisions that fundamentally affect the lives of ordinary citizens. The focus of this workshop will be on both the opportunities & challenges of the AI's current and future uses of AI in society, addressing critical challenges such as bias, fairness, and interpretability in digital civic systems.
This workshop aims to bring together researchers and practitioners from the fields of machine learning, data science, and social science to explore both the current and potential uses of AI in civic technologies (society).
This workshop will be an in-person event held in conjunction with IJCAI 2025, taking place on August 16-22, 2025 at Montreal, Canada. The session will cover invited talks, contributed talks, and a panel discussion.
NEWS
April 14, 2025 โ We are honored to announce that Prof. Mary Lou Maher from the University of North Carolina at Charlotte (UNC Charlotte) ๐บ๐ธ will be joining DemocrAI 2025 as an invited speaker.
April 8, 2025 โ We are honored to announce that Prof. Michael Inzlicht from the University of Toronto ๐จ๐ฆ will be joining DemocrAI 2025 as a invtied speaker.
April 4, 2025 โ First Paper Submission Received!
March 17, 2025 โ The workshop CFP has been published on EasyChair Smart CFP website and LinkdIn.ย
March 15, 2025 โThe workshop website was launched.
February 4, 2025 โThe workshop proposal was accepted by IJCAI 2025.
IMPORTANT DATE
Paper Submission Deadline
June 15, 2025
Notification of Acceptance
July 15, 2025
Camera ready Submission
August 1, 2025
Workshop Date
August 16-22, 2025
INVITED SPEAKERS (Tentatively Accepted)
Michael Inzlicht
University of Toronto ๐จ๐ฆ
In Praise of Empathic AI: Can Empathic AI Increase Human Welfare?
18th August, (Tentative)
Abstract (TBD)
Bio
Dr. Michael Inzlicht is a Research Excellence Faculty Scholar at the University of Toronto ๐จ๐ฆ. His primary appointment is as Professor in the Department of Psychology, but he is also cross-appointed as Professor in the Department of Marketing at the Rotman School of Management. Michael conducts research that sits at the boundaries of social psychology, cognitive science, and neuroscience. Although he has published papers on numerous topics, his current research interests concern work and play. His research on work or effort is mostly on the topics of self-control and motivation, but also includes research on the mentally demanding nature of empathy and compassion. His work on play or leisure is a relatively new direction for Michael and includes research on social media, puzzles (e.g., crosswords, Sudoku), and recreational drug use.
Michael completed his B.Sc. in Anatomical Sciences at McGill University in 1994, his Ph.D. in Experimental Psychology at Brown University in 2001, and his postdoctoral fellowship in Applied Psychology at New York University in 2004. He has published more than 150 peer-reviewed journal articles and book chapters and edited two books. His work has been featured in media outlets around the world, including The New York Times, The Globe and Mail, BBC News, TIME, The Daily Telegraph, and the CBC, among many others. His research and teaching have been recognized with the Wegner Theoretical Innovation Prize, the SPSSI Louise Kidder Early Career Award, the Ontario government's Early Researcher Award, the ISCON Best Social Cognition Paper Award, the Principal's Research Award (University of Toronto Scarborough), and the UofT Scarborough Professor of the Year Award.
Mary Lou Maher
University of North Carolina at Charlotte ๐บ๐ธ
Enhancing Human Creativity Through AI-assisted Models (Tentative)
18th August, (Tentative)
Abstract (TBD)
Bio
Dr. Mary Lou Maher is a Professor in the College of Computing and Informatics at the University of North Carolina at Charlotte (UNC Charlotte) ๐บ๐ธ. She is a co-Director of the Human-Centered Computing Lab. She has held appointments at Carnegie Mellon University, MIT, Columbia University, US National Science Foundation, and the University of Maryland. Her research lies at the intersection of Artificial Intelligence and Human-Computer Interaction. Her recent research areas include AI-based models of novelty and surprise, evaluating ideation in human-AI co-creativity, human-centered AI interaction design, and personalized learning systems that encourage curiosity.
WORKSHOP ORGANIZER
Kyoto University ๐ฏ๐ต
Kyoto University ๐ฏ๐ต
Kyoto University ๐ฏ๐ต
University of Tartu ๐ช๐ช
PROGRAM COMMITTEE
The Program Committee is currently being formed. Please check back later for updates.
Tomer Libal (University of Luxembourg ๐ฑ๐บ)
Enrico Gerding (University of Southampton ๐ฌ๐ง )
Uwe Serdรผlt ย (University of Zurich ๐จ๐ญ & Ritsumeikan University ๐ฏ๐ต )
Sebastian Stein (University of Southampton ๐ฌ๐ง )
Ming-Hung Wang (National Chung Cheng University ๐น๐ผ )
Rafael Mestre (University of Southampton ๐ฌ๐ง )
Sofia Sahab ย (Kyoto University ๐ฏ๐ต )
Tomasz Janowski ย (Gdaลsk University of Technology ๐ต๐ฑ & University for Continuing Education Krems ๐ฆ๐น )
Shichao Liu ย (Carleton University ๐จ๐ฆ )
...
Links to Past DemocrAI Workshops
5th version - Kyoto, Japan ๐ฏ๐ต
4th version - Jeju Island, South Korea ๐ฐ๐ท
3rd version - ย Jakarta, Indonesia ๐ฎ๐ฉ
2nd version ย - ย Macao ๐ฒ๐ด
1st version - Shanghai, China ๐จ๐ณย
Please contact Jawad Haqbeen (jawad.haqbeen[at]i.kyoto-u.ac.jp) if you have any questions or requests.
Please contact Jawad Haqbeen (jawad.haqbeen[at]i.kyoto-u.ac.jp) if you have any questions or requests.
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