posted by user: dtalbert || 2723 views || tracked by 10 users: [display]

XAI_Bias_Trust@FLAIRS 2022 : FLAIRS Special Track on Explainability, Bias, and Trust in Artificial Intelligence


When May 15, 2022 - May 18, 2022
Where Jensen Beach, FL, USA
Abstract Registration Due Feb 7, 2022
Submission Deadline Feb 14, 2022
Notification Due Mar 11, 2022
Final Version Due Mar 29, 2022
Categories    artificial intelligence   XAI   bias   trust

Call For Papers

Call for Papers: FLAIRS-35 Special Track on Explainability, Bias, and Trust

Abstract Due Date: January 17, 2022
Submission Due Date: January 24, 2022
Conference Dates: May 15-18, 2022
Conference Location: Jensen Beach, Florida


We are seeking submissions for the Explainability, Bias, and Trust special track at the 35th International FLAIRS Conference ( This special track focuses on Explainability, Bias, and Trust in Artificial Intelligence systems. 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

Questions regarding the track should be addressed to: Doug Talbert at, Michael Youngblood at, or William Eberle at

Related Resources

FLAIRS-37 ST XAI, Fairness, and Trust 2024   FLAIRS-37 Special Track on Explainable, Fair, and Trustworthy AI
ECAI 2024   27th European Conference on Artificial Intelligence
FLAIRS-37 ST AI and Healthcare 2024   FLAIRS-37 Special Track on Artificial Intelligence in Healthcare Informatics
CCVPR 2024   2024 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2024)
FLAIRS - SLP 2024   Spoken Language Processing and Conversational Systems Special Track
IEEE ICA 2022   The 6th IEEE International Conference on Agents
FLAIRS 2024   37th International FLAIRS Conference
NeurIPS 2024   The Thirty-Eighth Annual Conference on Neural Information Processing Systems
CPAIOR 2024   International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
FLAIRS-37 2024   Special Track on AI Workforce Development and Supportive Education