FLAIRS-37 Special Track on Explainable, Fair, and Trustworthy AI (FLAIRS-37 ST XAI, Fairness, and Trust 2024)

We are seeking submissions for the Explainability, Bias, and Trust special track at the 37th International FLAIRS Conference.

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.