A Brief Review of Explainable Artificial Intelligence Reviews and Methods

Abstract

Thanks to the recent advances in technology and ever-growing data, Artificial Intelligence (AI) has remarkably developed and has become an integral part of people’s daily lives. Due to the growing interest in AI, the number of research on the topic has increased significantly in recent years. AI based methods are used to reveal information, make decisions, and detect data behaviors. Albeit AI-based models outperform traditional techniques, they are inherently “black box” and lack the ability to explain how a decision is made. In order to fill this gap, the concept of explainable artificial intelligence (XAI) is proposed. This chapter aims at providing a brief review of XAI terminologies, review studies, and methods.

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