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Explainable Artificial Intelligence: Current Trends and Future Directions Using Bibliometric Analysis

SSRN, ISSN: 1556-5068
2024
  • 0
    Citations
  • 117
    Usage
  • 0
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Usage
    117

Article Description

This paper outlines the primary topics in the field of explainable artificial intelligence as well as the present dynamics of the subject and offers future research options. The paper evaluates a sample of 3214 papers from the Scopus database using a bibliometric approach in order to discover research activity on explainable artificial intelligence that took place between the years 1974 and the present date, including the early access of 2024, which is half a century. For holistic understanding, the paper provides answers to five important research questions that will help in determining which papers and writers have the greatest influence based on how important they are to it. In addition, it also looks at the most recent trends and identifies themes related to future research related to explainable artificial intelligence. As explainable artificial intelligence is becoming relevant for research in many research areas, the paper will help researchers in a holistic understanding of explainable artificial intelligence research. The paper fulfils an important need of exploring and analysing the research related to explainable artificial intelligence.

Bibliographic Details

Rohan Kumar Sinha; Pradeep Kumar

Multidisciplinary; Explainable Artificial Intelligence; Explanation; Artificial Intelligence; bibliometric analysis; Trends; Future Research

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