Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges

Naeem Ullah, Javed Ali Khan, Ivanoe De Falco, Giovanna Sannino

Research output: Contribution to journalArticlepeer-review

Abstract

There is an urgent need in many application areas for eXplainable ArtificiaI Intelligence (XAI) approaches to boost people’s confidence and trust in Artificial Intelligence methods. Current works concentrate on specific aspects of XAI and avoid a comprehensive perspective. This study undertakes a systematic survey of importance, approaches, methods, and application domains to address this gap and provide a comprehensive understanding of the XAI domain. Applying the Systematic Literature Review approach has resulted in finding and discussing 155 papers, allowing a wide discussion on the strengths, limitations, and challenges of XAI methods and future research directions.
Original languageEnglish
Article number94
Pages (from-to)1-36
Number of pages36
JournalACM Computing Surveys
Volume57
Issue number4
Early online date23 Dec 2024
DOIs
Publication statusPublished - 24 Dec 2024

Keywords

  • Explainable Artificial Intelligence
  • literature review

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