Explainable artificial intelligence can help bridge the gap between human understanding and the way artificial intelligence models function

With the advent of industry 4.0, advancements in artificial intelligence (AI) have become vital to helping with industry efficiency and performance. Recently, a group of researchers surveyed the existing AI and explainable AI (XAI) based methods used in Industry 4.0 highlighting the need for XAI-based methods to help build efficient smart cities, factories, healthcare, and human-computer interactions.

The current fourth industrial revolution or Industry 4.0

The very first industrial revolution historically kicked off with the introduction of steam- and water-powered technology. They have come a long way since then, with the current fourth industrial revolution, or Industry 4.0, being focused on utilizing new technology to boost industrial efficiency. Some of these technologies include the internet of things (IoT), cloud computing, cyber-physical systems, and artificial intelligence (AI). AI is the key driver of Industry 4.0, automating intelligent machines to self-monitor, interpret, diagnose, and analyze all by themselves. AI methods, such as machine learning (ML), deep learning (DL), natural language processing (NLP), and computer vision (CV), help industries forecast their maintenance needs and cut down on downtime. Source: inu.ac.kr