Abstract

Artificial intelligence has an enormous prospective to secure the cyber world. A lot of research is happening in the area of artificial intelligence in cyber security, however, the adoption in real-world practice is extremely limited. Lack of interpretability and accuracy of the artificial intelligence models pose restriction in implementation, as the user need to be confident that the Artificial Intelligence system used in decision making is trustworthy. Explainable Artificial Intelligence overcomes this concern and is the right step towards dependable and predictable Artificial Intelligence. This paper aims to provide a broad understanding of various terminology, classification, and scope of Explainable Artificial Intelligence in cyber security, challenges faced and metrics used for evaluation through the existing literature.

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