CFP AMCIS 2025 Mini-Track: Fairness of AI-Based Information Systems

[Prof. Chenglong Zhang (SME)]

CALL FOR PAPERS
AMCIS 2025 - Intelligent Technologies for a Better Future
August 14-16, 2025
Montreal, Canada
Minitrack: Fairness of AI-Based Systems
Track: Conference Theme Track (Intelligent Technologies for a Better Future)

DESCRIPTION
AI-based information systems have been increasingly used in implementing policies for various areas such as college admissions, loan approvals, hiring decisions, and parole decisions. The heavy reliance on automated AI-based systems results in debates and claims of inequity, discrimination, and unfairness (e.g., see O'Neil, 2016). This mini-track aims to address various technical, social, and economic issues relevant to fairness in the context of AI. The topic focuses on fairness in AI and information systems including, but not limited to:

  *   Social perspectives on fairness in AI
  *   Fairness measures and metrics
  *   Fairness in resource allocation
  *   Fairness modeling
  *   Fairness and bias
  *   Fair policymaking
  *   Debiasing in data, models, and analytics process
  *   Best practice
  *   Impossibility results
  *   Subjectivity of fairness
  *   Fairness and information systems economics
  *   Fairness perceptions
  *   Individual vs. group fairness
  *   Fairness and social welfare

IMPORTANT DATES
  *   Submission Opens: January 13, 2025
  *   Submission Deadline: February 28, 2025, 5:00 PM ET

MINITRACK CO-CHAIRS
Chenglong Zhang, Chinese University of Hong Kong, Shenzhen, zhangchenglong at cuhk.edu.cn<mailto:zhangchenglong at cuhk.edu.cn>
Young Ryu, The University of Texas at Dallas, ryu at utdallas.edu<mailto:ryu at utdallas.edu>
Varghese S. Jacob, The University of Texas at Dallas, vjacob at utdallas.edu<mailto:vjacob at utdallas.edu>

Chenglong Zhang
Assistant Professor of Information Systems
The Chinese University of Hong Kong, Shenzhen

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