An Assurance Case Pattern for the Interpretability of Machine Learning in Safety-Critical Systems

Ward, Francis Rhys and Habli, Ibrahim orcid.org/0000-0003-2736-8238 (2020) An Assurance Case Pattern for the Interpretability of Machine Learning in Safety-Critical Systems. In: ​Third International Workshop on Artificial Intelligence Safety Engineering.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Keywords: Safety,AI,Interpretability,Explainability,Machine learning
Dates:
  • Published: September 2020
  • Accepted: June 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 17 Jul 2020 15:50
Last Modified: 08 Feb 2025 00:12
Status: Published
Open Archives Initiative ID (OAI ID):

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Filename: invited_paper_29.pdf

Description: ML_Explainability

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