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Disruptive Innovations and Disruptive Assurance: Assuring Machine Learning and Autonomy

Bloomfield, R. E. ORCID: 0000-0002-2050-6151, Khlaaf, H., Conmy, P. R. and Fletcher, G. (2019). Disruptive Innovations and Disruptive Assurance: Assuring Machine Learning and Autonomy. Computer, 52(9), pp. 82-89. doi: 10.1109/MC.2019.2914775

Abstract

Autonomous and machine learning-based systems are disruptive innovations and thus require a corresponding disruptive assurance strategy. We offer an overview of a framework based on claims, arguments, and evidence aimed at addressing these systems and use it to identify specific gaps, challenges, and potential solutions.

Publication Type: Article
Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Autonomous systems, Safety, Disruptive innovation, Machine learning
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
Date Deposited: 02 Dec 2019 08:43
URI: https://openaccess.city.ac.uk/id/eprint/23295
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