Towards next-gen smart manufacturing systems : the explainability revolution

Tools

Puthanveettil Madathil, Abhilash and Luo, Xichun and Liu, Qi and Madarkar, Rajeshkumar and Walker, Charles (2024) Towards next-gen smart manufacturing systems : the explainability revolution. npj Advanced Manufacturing, 1 (1). 8. ISSN 3004-8621 (https://doi.org/10.1038/s44334-024-00006-9)

[thumbnail of Puthanveettil-Madathil-etal-npjAM-2024-Towards-next-gen-smart-manufacturing-systems]
Preview
 Text. Filename: Puthanveettil-Madathil-etal-npjAM-2024-Towards-next-gen-smart-manufacturing-systems.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (2MB)| Preview

Abstract

The paper shares the author’s perspectives on the role of explainable-AI in the evolving landscape of AI-driven smart manufacturing decisions. First, critical perspectives on the reasons for the slow adoption of explainable-AI in manufacturing are shared, leading to a discussion on its role and relevance in inspiring scientific understanding and discoveries towards achieving complete autonomy. Finally, to standardize explainability quantification, a new Transparency–Cohesion–Comprehensibility (TCC) evaluation framework is proposed and demonstrated.

ORCID iDs

Puthanveettil Madathil, Abhilash ORCID logoORCID: https://orcid.org/0000-0001-5655-6196, Luo, Xichun ORCID logoORCID: https://orcid.org/0000-0002-5024-7058, Liu, Qi ORCID logoORCID: https://orcid.org/0000-0002-1960-7318, Madarkar, Rajeshkumar and Walker, Charles;
CORE (COnnecting REpositories)