Guest Editorial: Trustworthiness of AI/ML/DL Approaches in Industrial Internet of Things and Applications
Journal
IEEE Transactions on Industrial Informatics
Journal Volume
19
Journal Issue
1
Date Issued
2023-01-01
Author(s)
Abstract
The papers in this special section focus on the trustworthiness of artificial intelligence/machine learning models/deep learning models (AI/ML/DL) as it applies to the Industrial Internet of Things (IIot). This includes automated environments, such as smart factories, smart airports, and smart healthcare systems. AI approaches enable automation and data analytic across industrial technologies, including the IIoT, cloud and edge, and fog computing paradigms. Current ML models, such as DL still suffer from designing a generalized trustworthy architecture that reveals semantics and contexts of models and attacks threat surface. The papers in this section were inspired by the convincing challenges and necessities described above and attempt to compile research results that essentially adopts them.
SDGs
Type
other