Practical Applications of XAI
Parikshit Narendra Mahalle, Yashwant Sudhakar Ingle · River Publishers eBooks · 2024
This chapter explores the practical applications of explainable artificial intelligence (XAI) across various industries. It examines five specific domains where XAI has been particularly impactful: healthcare, finance, autonomous vehicles, recommender systems, and agriculture. In healthcare, XAI aids in interpretable medical diagnosis by providing transparent insights into AI-driven decision-making processes, enhancing trust and facilitating better patient outcomes. In finance, XAI assists in risk assessment and regulatory compliance, enabling financial institutions to understand and mitigate risks effectively while ensuring adherence to regulatory requirements. Autonomous vehicles leverage XAI for safety and decision support, enabling real-time monitoring and interpretation of sensor data to prioritize safety and enhance trust among passengers and regulators. Recommender systems benefit from XAI by delivering personalized recommendations with transparency, improving user experiences and engagement. In agriculture, XAI is instrumental in plant disease detection and prediction, analyzing diverse data sources to identify disease outbreaks early and enabling proactive risk mitigation strategies. Overall, this chapter underscores the transformative potential of XAI in addressing real-world challenges across various industries, driving innovation, and fostering responsible AI deployment [ 1 , 2 , 3 ].