articleInformation FusionFeb 15, 2024HYBRID OA

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

LLLuca LongoMBMario BrčićFCFederico CabitzaJCJaesik ChoiRCRoberto Confalonieri

Intel (Ireland) · Technological University Dublin · +24 more institutions

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Abstract

Understanding black box models has become paramount as systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper highlights the advancements in XAI and its application in real-world scenarios and 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…

Citation impact

454
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FWCI
141.54
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100%
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323
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Authors

19

Topics & keywords

Topics
Keywords
  • Manifesto
  • Computer science
  • Open research
  • Artificial intelligence
  • Data science
  • Political science
  • World Wide Web
UN Sustainable Development Goals
  • Partnerships for the goals
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