关键词: 可解释人工智能, 深度学习, 物联网, 智慧医疗, 智慧工业, 智慧城市

Abstract: In the era of Internet of Things (IoT), the integration of Artificial Intelligence (AI) and IoT has become a significant trend driving technological advancements and innovative applications. With the exponential growth in the number of connected devices, enhancing end-users' trust in intelligent systems has become especially critical. Explainable Artificial Intelligence (XAI) refers to AI systems capable of providing clear explanations of their decision-making processes and outcomes. The emergence of XAI has propelled the development of AI technology and increased users' trust in AI systems. A review of the research on explainable AI in IoT applications. Firstly, the background and significance of IoT and XAI were discussed. Next, the definition and key technologies of XAI were presented. Then, the recent progress in traditional AI-driven IoT applications as well as XAI-driven IoT applications were reviewed. Furthermore, the future development directions of XAI in IoT applications were summarized and the associated challenges were discussed.

Key words: explainable artificial intelligence, deep learning, Internet of Things &#40, IoT&#41, smart healthcare