Towards next-gen smart manufacturing systems: the explainability revolution

Abhilash Puthanveettil Madathil, Xichun Luo*, Qi Liu, Rajeshkumar Madarkar, Charles Walker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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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 languageEnglish
Article number8
Number of pages20
Journalnpj Advanced Manufacturing
Volume1
Issue number1
DOIs
Publication statusPublished - 6 Nov 2024

Keywords

  • explainable-AI
  • smart manufacturing
  • transparency-cohesion-comprehensibility

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