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AI safety of film capacitors.

Zhang, Yong-Xin; Chen, Fang-Yi; Liu, Di-Fan; Wang, Jian-Xiao; Feng, Qi-Kun; Jiang, Hai-Yang; Wang, Xin-Jie; Zhao, Hong-Bo; Zhong, Shao-Long; Shah, Faisal Mehmood; Dang, Zhi-Min

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



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.

Citation

ZHANG, Y.-X., CHEN, F.-Y., LIU, D.-F., WANG, J.-X., FENG, Q.-K., JIANG, H.-Y., WANG, X.-J., ZHAO, H.-B., ZHONG, S.-L., SHAH, F.M. and DANG, Z.-M. 2024. AI safety of film capacitors. IET nanodielectrics [online], 7(3), pages 131-139. Available from: https://doi.org/10.1049/nde2.12071

Journal Article Type Article
Acceptance Date Oct 30, 2023
Online Publication Date Nov 16, 2023
Publication Date Sep 30, 2024
Deposit Date May 6, 2024
Publicly Available Date May 8, 2024
Journal IET nanodielectrics
Electronic ISSN 2514-3255
Publisher Wiley Open Access
Peer Reviewed Peer Reviewed
Volume 7
Issue 3
Pages 131-139
DOI https://doi.org/10.1049/nde2.12071
Keywords Film capacitors; Capacitors; Dielectic materials; Nanomaterials; Artificial intelligence (AI); Ageing; Environmental degradation; Environmental factors; Polymer films; Power capacitors; Sustainable development
Public URL https://rgu-repository.worktribe.com/output/2332323

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