Taylor & Francis Group Edited book: Explainable AI for Intelligent Transportation Systems

XA2ITS


Artificial Intelligence



Researchers and practitioners are invited to contribute to an edited book on Explainable AI for Intelligent Transportation Systems.



Explainable Artificial Intelligence (XAI) is an emergent research field that aims to make AI and deep models’ outcomes more human-interpretable without scarifying performance. It holds the potential to increase public acceptance and trust in systems of a safety-critical nature such as Intelligent Transportation Systems (ITS). This book focuses on XAI in the field of ITS, it aims at compiling into a coherent structure the stat-of-the-art research and development of Explainable and Trustful ITS.



We are seeking chapters that propose approaches that use interpretable methods to improve the interpretability of ITS applications. Chapters addressing ethical and societal implications of XAI in ITS are also solicited.



For more details, kindly refer to the book website: https://sites.google.com/usmba.ac.ma/xa2its



Submit your paper at: https://easychair.org/conferences/?conf=xa2its



For queries contact: afaf.bouhoute@usmba.ac.ma