Reshaping Intelligent Business and Industry

4The Need for XAI: Challenges and Its Applications

SWATI¹, MENU VIJARANIA¹, VIVEK JAGLAN¹, DAC-NHUONG LE²

¹ School of Engineering & Technology, KR Mangalam University, Gurugram, India

² Faculty of Information Technology, Haiphong University, Haiphong, Vietnam

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Abstract

The fourth industrial revolution has led to the widespread adoption of artificial intelligence (AI) in our day-to-day lives. This has caused an acceleration in the shift towards the algorithmic society. However, a system based on AI lacks transparency as it becomes difficult to gain insight into its internal workings. It further increases problems, because delegating important decisions to the system that fail to obtain explainability leads to danger. To address this issue, explainable artificial intelligence (XAI) has being proposed, which makes a shift towards more transparent AI. It focuses on creating a collection of techniques that aim to generate more explainable models which maintain high performance levels. Therefore, the use of an XAI system justifies the results, particularly when some decisions are unexpected. It also make sure that provable and auditable ways are adopted to defend decisions to claim their fairness. This leads to the development of trust. In this chapter, we cover a survey that is referred to as an entry point for researchers and practitioners to understand various key aspects related ...