A comprehensive review of explainable artificial intelligence (XAI) in various domains : Applications and challenges

To make artificial intelligence, scientists look at how the brain works and how it learns. These investigations have led to the creation of software and smart systems. Artificial Intelligece (AI) is a way to solve everyday problems by leveraging technology and systems that act like people. We need to build trust and employ AI systems in important sectors since we rely on smart robots more and more in our daily lives. The short form of “Explainable Artificial Intelligence” is “XAI.” AI that can explain its decisions or predictions to people. XAI wants to make AI systems more open, accountable, and trustworthy, especially when they are utilized in important fields like security, healthcare, or finance.

Authors

Publication Details

Journal
Journal of Information and Optimization Sciences
Published
2025-01-01
DOI
https://doi.org/10.47974/jios-2015
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

A comprehensive review of explainable artificial intelligence (XAI) in various domains : Applications and challenges

Rahul Datta, Vaishali Mehta
Journal of Information and Optimization Sciences
Explainable Artificial Intelligence (XAI)
article

A comprehensive review of explainable artificial intelligence (XAI) in various domains : Applications and challenges

Rahul Datta, Vaishali Mehta
article en

Abstract

To make artificial intelligence, scientists look at how the brain works and how it learns. These investigations have led to the creation of software and smart systems. Artificial Intelligece (AI) is a way to solve everyday problems by leveraging technology and systems that act like people. We need to build trust and employ AI systems in important sectors since we rely on smart robots more and more in our daily lives. The short form of “Explainable Artificial Intelligence” is “XAI.” AI that can explain its decisions or predictions to people. XAI wants to make AI systems more open, accountable, and trustworthy, especially when they are utilized in important fields like security, healthcare, or finance.

Journal of Information and Optimization SciencesVol. 46(6)
Openalex Percentile: Top 86%
Explainable Artificial Intelligence (XAI)
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