Abstract submission deadline: January 20, 2025 (Abstract is required to submit full paper.)
Paper submission deadline: January 27, 2025
Paper acceptance notifications: March 10, 2025
Camera ready version due: April 9, 2025
This special track focuses on Explainable, Fair, and Trustworthy Artificial Intelligence. The goal of this track is to provide a venue for researchers to disseminate important and novel work in these areas and to bring such research to the diverse AI community that FLAIRS attracts. As AI continues to flourish and impact an increasingly broad array of industries and everyday activities, it is important to develop systems that users trust. The blackbox nature of many AI systems as well as well-publicized cases of bias in machine learning models undermine users’ trust in AI and lead to ethical and legal concerns. Explainable AI and bias detection and mitigation are active and growing areas of research designed to address these challenges.
Papers and contributions are encouraged for any work relating to AI and explainability, bias, or trust. Topics of interest may include (but are in no way limited to):
Detection and mitigation of bias in AI
Explainability of AI systems
Increasing trust in AI systems
Evaluating explainability and trust in AI
Support technologies useful for research in explainability, bias, and/or trust
Data sets of value in research in explainability, bias, and/or trust
Case studies of deployed systems involving explainability, bias, and/or trust
Data diversity and representation
Systematic discrimination issues via AI/intelligent systems
Track Co-Chairs
Md Golam Moula Mehedi Hasan, Iona University, mmehedihasan@iona.edu
Sheikh Rabiul Islam, Rutgers University - Camden, sheikh.islam@rutgers.edu
Ingrid Russell, University of Hartford, irussell@hartford.edu
Doug Talbert, Tennessee Tech University, dtalbert@tntech.edu
Program Committee
TBD
Questions regarding the Explainability, Bias, and Trust Special Track should be addressed to:
Doug Talbert, Tennessee Tech University, dtalbert@tntech.edu
Paper submission site: https://easychair.org/conferences/?conf=flairs38
FLAIRS-38 conference web page: https://www.flairs-38.info/
Florida AI Research Society (FLAIRS): http://www.flairs.com
