AI trustworthiness in manufacturing: challenges, toolkits, and the path to Industry 5.0

Ahangar, M.N. orcid.org/0009-0006-0764-4847, Farhat, Z.A. orcid.org/0000-0002-0687-2817 and Sivanathan, A. orcid.org/0000-0002-4389-9488 (2025) AI trustworthiness in manufacturing: challenges, toolkits, and the path to Industry 5.0. Sensors, 25 (14). 4357. ISSN: 1424-8220

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: Artificial Intelligence (AI); manufacturing; Industry 4.0; Industry 5.0; AI trustworthiness; transparency; fairness; robustness; accountability; ethical AI; bias mitigation; explainability; AI Toolkits; sustainable manufacturing; human-centric AI
Dates:
  • Submitted: 19 May 2025
  • Accepted: 8 July 2025
  • Published (online): 11 July 2025
  • Published: 2 July 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield)
The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC with Boeing (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Jul 2025 10:47
Last Modified: 23 Jul 2025 10:47
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: 10.3390/s25144357
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 9: Industry, Innovation, and Infrastructure
Open Archives Initiative ID (OAI ID):

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