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Dive into the research topics of 'Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions'. Together they form a unique fingerprint.- Sort by
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Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
- 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
- The Artificial Intelligence and Cognitive Load Research Lab
- Technological University Dublin
- University of Zagreb
- University of Milan - Bicocca
- IRCCS Galeazzi Orthopedic Institute
- Korea Advanced Institute of Science and Technology
- INEEJI Corporation
- University of Padua
- Basque Research and Technology Alliance (BRTA)
- University of the Basque Country
- University of Granada
- University of Pisa
- Meiji University
- University of Natural Resources and Life Sciences, Vienna
- Lancaster University
- University of Queensland
- INRIA
- Leiden University
- Universidad de los Andes Colombia
- Technical University of Berlin
- Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
- Berlin Institute for the Foundations of Learning and Data (BIFOLD)
- University of Liechtenstein
- University of Bayreuth
- Saarland University
- University of Glasgow
Research output: Contribution to journal › Short survey › peer-review