A REVIEW OF ARTIFICIAL INTELLIGENCE (AI) CHALLENGES AND FUTURE PROSPECTS OF EXPLAINABLE AI IN MAJOR FIELDS: A CASE STUDY OF NIGERIA

Abstract

Artificial intelligence (AI) has been used widely in essential fields such as energy, health, agriculture, finance etc. However, Artificial intelligence is still faced with social, ethical, legal, and technological challenges. It is important to know how these systems make their decisions while still achieving and implementing the benefits of AI. Explainable AI (XAI) is a technique that is used to explain how a machine made a decision. In this review, we discuss the challenges of AI and recommend XAI as a tool to solve the limitations of AI and suggest a human and conditions-based approach to challenges faced in the technology in Nigeria. This paper employs a narrative review to highlight problems that are limiting the use of AI in four important sectors of Nigeria: Health, Energy, Agriculture, and Finance, and suggest recommendations to solve the AI challenges. The review data was obtained from journals and researchers. We discuss Explainable AI (XAI) as a technique for solving challenges like trustworthiness, bias, lack of data, expertise, and confidence in using AI in major sectors. The paper focuses on the users, conditions, and challenges and recommends that humans and conditions be taken into consideration when building XAI systems.

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