论文标题
可以通过物联网解释AI（IoT）：概述，最新和未来的方向
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
论文作者
论文摘要
可解释的人工智能（XAI）正在通过增强机器中最终用户的信任来改变人工智能（AI）。随着连接设备的数量不断增长，最终用户的物联网（IoT）市场需要值得信赖。但是，现有文献仍然缺乏有关XAI用于物联网的系统和全面的调查工作。为了弥合本文，我们将XAI框架介绍，重点是它们对物联网的特征和支持。我们说明了针对物联网应用程序的广泛使用的XAI服务，例如安全性增强，医学事物（IOMT），工业物联网（IIOT）和城市互联网（IOCT）。我们还建议在这些应用程序中使用适当的示例在这些应用程序中对XAI模型的实施选择，并总结未来工作的关键推断。此外，我们介绍了边缘XAI结构的前沿开发以及对物联网应用程序的第六代（6G）通信服务的支持，以及关键推断。简而言之，本文构成了针对未来物联网用例的需求量身定制的基于XAI的框架的第一个整体汇编。
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by enhancing the trust of end-users in machines. As the number of connected devices keeps on growing, the Internet of Things (IoT) market needs to be trustworthy for the end-users. However, existing literature still lacks a systematic and comprehensive survey work on the use of XAI for IoT. To bridge this lacking, in this paper, we address the XAI frameworks with a focus on their characteristics and support for IoT. We illustrate the widely-used XAI services for IoT applications, such as security enhancement, Internet of Medical Things (IoMT), Industrial IoT (IIoT), and Internet of City Things (IoCT). We also suggest the implementation choice of XAI models over IoT systems in these applications with appropriate examples and summarize the key inferences for future works. Moreover, we present the cutting-edge development in edge XAI structures and the support of sixth-generation (6G) communication services for IoT applications, along with key inferences. In a nutshell, this paper constitutes the first holistic compilation on the development of XAI-based frameworks tailored for the demands of future IoT use cases.
