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AI safety of film capacitors

Authors :
Yong‐Xin Zhang
Fang‐Yi Chen
Di‐Fan Liu
Jian‐Xiao Wang
Qi‐Kun Feng
Hai‐Yang Jiang
Xin‐Jie Wang
Hong‐Bo Zhao
Shao‐Long Zhong
Faisal Mehmood Shah
Zhi‐Min Dang
Source :
IET Nanodielectrics, Vol 7, Iss 3, Pp 131-139 (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract With a large number of film capacitors being deployed in critical locations in electrical and electronic systems, artificial intelligence (AI) technology is also expected to address the problems encountered in this process. According to our findings, AI applications can cover the entire lifecycle of film capacitors. However, the AI safety hazards in these applications have not received the attention they deserve. To meet this, the authors argue, with specific examples, risks that flawed, erratic, and unethical AI can introduce in the design, operation, and evaluation of film capacitors. Human‐AI common impact and more multi‐dimensional evaluation for AI are proposed to better cope with unknown, ambiguity, and known risks brought from AI in film capacitors now and in the future.

Details

Language :
English
ISSN :
25143255
Volume :
7
Issue :
3
Database :
Directory of Open Access Journals
Journal :
IET Nanodielectrics
Publication Type :
Academic Journal
Accession number :
edsdoj.6d1c1b600925427d880497dd9bbe6477
Document Type :
article
Full Text :
https://doi.org/10.1049/nde2.12071