ハヤシ　ヨウイチ   Hayashi Yoichi   林　陽一    所属   明治大学  理工学部    職種   専任教授
言語種別	英語
発行・発表の年月	2024/02
形態種別	学術雑誌
標題	Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
執筆形態	共著(筆頭者以外)
掲載誌名	Information Fusion
掲載区分	国外
出版社・発行元	Elsevier
巻・号・頁	106(102301),pp.1-22
総ページ数	22
担当範囲	Conceptualizations, Investigation, Methodology, Validation, Writing-review & editing
国際共著	国際共著
著者・共著者	Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
概要	This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from diverse fields to identify open problems, striving to synchronize research agendas and accelerate XAI in practical applications. By fostering collaborative discussion and interdisciplinary cooperation, we aim to propel XAI forward, contributing to its continued success. Our goal is to put forward a comprehensive proposal for advancing XAI. To achieve this goal, we present a manifesto of 27 open problems categorized into nine categories. These challenges encapsulate the complexities and nuances of XAI and offer a road map for future research. For each problem, we provide promising research directions in the hope of harnessing the collective intelligence of interested stakeholders.
researchmap用URL	https://doi.org/10.1016/j.inffus.2024.102301