mlsanityData to 14 Oct 2026

Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions

arXiv 2211.01036 ↗First posted 2 Nov 2022cs.AI cs.HC cs.LGcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 60 of its 211 references that are in the map. First posted on arXiv 2 Nov 2022.

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60 of 211 references.

References · 60

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38 more
  1. 2019Explainable Machine Learning for Scientific Insights and Discoveriescited by 166
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Citing papers per year: 2024: 1; 2025: 1.

2 papers.

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  2. 2025A Survey on Interpretability in Visual Recognitioncited by 2