Trustworthy AI for human-centric smart manufacturing: A survey

被引:0
|
作者
Li, Dongpeng [1 ,2 ,3 ]
Liu, Shimin [1 ]
Wang, Baicun [4 ]
Yu, Chunyang [5 ]
Zheng, Pai [1 ]
Li, Weihua [3 ,6 ]
机构
[1] Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong
[2] Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou,511441, China
[3] Pazhou Lab, Guangdong Artificial Intelligent and Digital Economy Laboratory, Guangzhou,510335, China
[4] School of Mechanical Engineering, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China
[5] Design-AI lab, China Academy of Art, Hangzhou, China
[6] School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou,510640, China
关键词
Smart manufacturing;
D O I
10.1016/j.jmsy.2024.11.020
中图分类号
学科分类号
摘要
Human-centric smart manufacturing (HCSM) envisions a symbiotic relationship between humans and machines, leveraging human capability and Artificial Intelligence (AI)’s precision and computational power to achieve mutual enhancement. Trustworthy AI (TAI) is a promising enabler in this transition, ensuring that the integration of AI technologies within manufacturing scenarios is safe, transparent, and participatory. This paper systematically reviews TAI within the context of HCSM by adopting a progressive 3-layer framework. This framework aligns with the developmental stages of HCSM and includes basic safety (protection), advancing to explainability, accountability, and uncertainty awareness (perception), and culminating in continuous updating with human involvement (participation). The review explores the role of TAI across key stages of the product lifecycle, demonstrating how TAI can empower humans and highlighting current advancements while identifying ongoing challenges. The paper concludes by discussing future directions and offering insights for developing TAI-integrated HCSM. © 2024 The Society of Manufacturing Engineers
引用
收藏
页码:308 / 327
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