articleKnowledge-Based SystemsJan 10, 2023HYBRID OA

Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities

University of Agder · De Montfort University

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Abstract

The past decade has seen significant progress in artificial intelligence (AI), which has resulted in algorithms being adopted for resolving a variety of problems. However, this success has been met by increasing model complexity and employing black-box AI models that lack transparency. In response to this need, Explainable AI (XAI) has been proposed to make AI more transparent and thus advance the adoption of AI in critical domains. Although there are several reviews of XAI topics in the literature that have identified challenges and potential research directions of XAI, these challenges and research directions are scattered. This study, hence, presents a systematic meta-survey of challenges and future…

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679
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FWCI
111.59
Percentile
100%
References
218
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Authors

2

Topics & keywords

Keywords
  • Transparency (behavior)
  • Variety (cybernetics)
  • Computer science
  • Management science
  • Data science
  • Artificial intelligence
  • Knowledge management
  • Engineering
UN Sustainable Development Goals
  • Responsible consumption and production
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