Projects per year
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.
Original language | English |
---|---|
Article number | 8 |
Number of pages | 20 |
Journal | npj Advanced Manufacturing |
Volume | 1 |
Issue number | 1 |
DOIs | |
Publication status | Published - 6 Nov 2024 |
Keywords
- explainable-AI
- smart manufacturing
- transparency-cohesion-comprehensibility
Fingerprint
Dive into the research topics of 'Towards next-gen smart manufacturing systems: the explainability revolution'. Together they form a unique fingerprint.Projects
- 1 Active
-
A Multiscale Digital Twin-Driven Smart Manufacturing System for High Value-Added Products
Luo, X. (Principal Investigator), Qin, Y. (Co-investigator) & Ward, M. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/05/20 → 30/04/25
Project: Research