Le cycle des séminaires scientifiques ANITI reprend.

Rendez-vous le 16 septembre de 15h à 16h avec Rosina Weber pour un séminaire autour de l’IA explicable

Le séminaire se déroulera en présentiel, en salle du conseil à l’IRIT et en ligne.

Title : XAI: Roadblocks, Trends, and Directions

Abstract : (XAI) faces several roadblocks that prevent its advancement. This talk introduces and contextualizes roadblocks stemming from a lack of consensus on foundational term definitions, biased motivations, inconsistent evaluations, and dependencies on multiple disciplines. This talk also presents latest trends such as personalized XAI and re-orientation of XAI methods to improve performance.

These trends however steer away from resolving said roadblocks. These considerations lead to new directions in support of alleviating existing roadblocks toward promoting the resilience of the field.

About Rosina Weber

Rosina Weber is an Associate Professor of Information Science in the College of Computing and Informatics at Drexel University, USA. Her lab investigates explainable artificial intelligence methods (XAI) from the lens of
use-inspired research. She has co-chaired four international workshops in the last four years, i.e., IJCAI-19, 20, 22, and AAAI 21. Weber has over 100 peer-reviewed papers in case-based reasoning and textual methods, including a widely adopted textbook. Currently, she is responsible for one of the reasoning agents for the NIH-NCATS Biomedical Data Translator and investigates XAI methods in small-data classifiers for the DARPA point-of-contact ultrasound (POCUS-AI) program. Her current visit to Europe is part of a collaboration with Mälardalens
University funded by the Swedish Vinnova foundation where she is the international XAI expert orienting how to equip AI applications with explanatory capabilities.


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