Transparency: The Missing Link to Boosting AI Transformations in Chemical Engineering

The issue of opacity within data-driven artificial intelligence (AI) algorithms has become an impediment to these algorithms’ extensive utilization, especially within sensitive domains concerning health, safety, and high profitability, such as chemical engineering (CE). In order to promote reliable...

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Bibliographic Details

Published in:	Engineering
Main Authors:	Yue Yuan, Donovan Chaffart, Tao Wu, Jesse Zhu
Format:	Article
Language:	English
Published:	Elsevier 2024-08-01
Subjects:	Transparency Explainable AI Reliability Causality Explainability Informativeness
Online Access:	http://www.sciencedirect.com/science/article/pii/S2095809924002376