posted by organizer: dtalbert || 556 views || tracked by 4 users: [display]

FLAIRS-ST XAI, Fairness, and Trust 2025 : FLAIRS-38 Special Track on Explainable, Fair, and Trustworthy AI

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/view/xaibiastrust/home
 
When May 20, 2025 - May 23, 2025
Where Daytona Beach, FL USA
Abstract Registration Due Jan 20, 2025
Submission Deadline Jan 27, 2025
Notification Due Mar 10, 2025
Final Version Due Apr 9, 2025
Categories    artificial intelligence   XAI   bias   trustworthy ai
 

Call For Papers

Call for Papers: FLAIRS-38 Special Track on Explainable, Fair, and Trustworthy AI

Abstract Due Date: January 20, 2025
Submission Due Date: January 27, 2025
Conference Dates: May 20-23, 2023
Conference Location: Daytona Beach, Florida

https://sites.google.com/view/xaibiastrust/home
URL: https://www.flairs-38.info/call-for-papers

We are seeking submissions for the Explainable, Fair, and Trustworthy AI special track at the 38th International FLAIRS Conference (https://www.flairs-38.info/home). This special track focuses on Explainable, Fair, and Trustworthy 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):

1. Detection and mitigation of bias in AI
2. Explainability of AI systems
3. Increasing trust in AI systems
4. Evaluating explainability and trust in AI
5. Support technologies useful for research in explainability, bias, and/or trust
6. Data sets of value in research in explainability, bias, and/or trust
7. Case studies of deployed systems involving explainability, bias, and/or trust

Questions regarding the track should be addressed to: Doug Talbert at dtalbert@tntech.edu

Related Resources

IEEE-Ei/Scopus-ITCC 2025   2025 5th International Conference on Information Technology and Cloud Computing (ITCC 2025)-EI Compendex
FLAIRS-37 ST XAI, Fairness, and Trust 2024   FLAIRS-37 Special Track on Explainable, Fair, and Trustworthy AI
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
ST_Flairs 2025   Call For Special Track Proposals (Florida Artificial Intelligence Research Society)
IEEE-Ei/Scopus-CNIOT 2025   2025 IEEE 6th International Conference on Computing, Networks and Internet of Things (CNIOT 2025) -EI Compendex
FLAIRS-AI-Healthcare 2025   FLAIRS-38 Special Track on Artificial Intelligence in Healthcare Informatics
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science
UR@FLAIRS 2025   Special Track on Uncertain Reasoning at FLAIRS-38
IJCNN 2025   International Joint Conference on Neural Networks
FLAIRS 2024   37th International FLAIRS Conference