XAIoT - The Future of Wearable Internet of Things

Abstract

The addition of Machine Learning and other Artificial Intelligent (AI) algorithms has expanded the capabilities of the Internet of Things (IoT) framework. However, the Artificial Internet of Things (AIoT), has also brought forward many issues with the combination, mainly lack of explanations and transparency. This lack of explanations of what AI models are doing is problematic in many fields, especially in the medical field. Explainable Artificial Intelligence (XAI) allows users to be given more in depth knowledge with the background processes of the model prediction. Enabling XAI into the IoT framework would develop a system that would not only capture Big Data more effectively, but also allow the system to be more transparent and explainable, causing wider adoption of the framework. This review focuses on current work done in AIoT and how it can be vastly improved with XAIoT. We propose an Explainable Artificial Intelligent Internet of Things (XAIoT) framework for monitoring physiological health using a smart watch.