An Initial Framework Assessing the Safety of Complex Systems - Research Database, The University of York

By the same authors

An Initial Framework Assessing the Safety of Complex Systems
Burton, S., McDermid, J. A., Garnett, P. & Weaver, R., 7 Dec 2020, CCS2020 - Conference on Complex System 2020. Zenodo, p. 69 1 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Enhancing the Value of Counterfactual Explanations for Deep Learning
Jia, Y., McDermid, J. A. & Habli, I., 15 Jun 2021, AIME 2021 : Artificial Intelligence in Medicine in Europe.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Safety-Driven Design of Machine Learning for Sepsis Treatment
Jia, Y., Lawton, T., Burden, J., McDermid, J. A. & Habli, I., May 2021
Article in Journal of Biomedical Informatics
AI Explainability: The Technical and Ethical Dimensions
McDermid, J. A., Jia, Y., Porter, Z. & Habli, I., 1 Mar 2021, (Accepted/In press)
Article in Philosophical Transactions: Mathematical, Physical and Engineering Sciences
Enhancing COVID-19 decision making by creating an assurance case for epidemiological models
Habli, I., Alexander, R., Hawkins, R. D., Sujan, M., McDermid, J. A., Picardi, C. & Lawton, T., 7 Sep 2020
Article in BMJ Health and Care Informatics

An Initial Framework Assessing the Safety of Complex Systems

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Author(s)

John Alexander McDermid
Simon Burton
Philip Garnett
Rob A. Weaver

Department/unit(s)

Publication details

Title of host publication	Systems and Covid-19
Date	Published - Feb 2021
Pages	109-111
Number of pages	3
Publisher	Safety Critical Systems Club
Editors	Mike Parsons, Mark Nicholson
Volume	161
Original language	English
ISBN (Print)	9798588665049

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