Dr Alexander Neads alexander.neads@durham.ac.uk
Assistant Professor
Established theory views military innovation as extraordinarily difficult, resulting in painful if infrequent revolutionary transformations. This article presents a divergent view, in which military innovation occurs progressively in an evolutionary fashion. Drawing on New Institutionalism and the Sociology of Science and Technology, we explore processes of professional debate and consensus-building among military officers, which can lead to evolutionary innovation. Examining the future application of artificial intelligence to command-and-control in the Australian Army, we find that officer attitudes to automation are rooted in shared experience of existing digitisation programmes, creating an emergent consensus over the evolutionary trajectory of future military innovation.
Neads, A., Farrell, T., & Galbreath, D. J. (2024). Evolving towards military innovation: AI and the Australian Army. Journal of Strategic Studies, 47(5), 669-698. https://doi.org/10.1080/01402390.2023.2200588
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 24, 2023 |
Online Publication Date | Apr 24, 2023 |
Publication Date | Jul 28, 2024 |
Deposit Date | Apr 26, 2023 |
Publicly Available Date | Apr 26, 2023 |
Journal | Journal of Strategic Studies |
Print ISSN | 0140-2390 |
Electronic ISSN | 1743-937X |
Publisher | Taylor and Francis Group |
Peer Reviewed | Peer Reviewed |
Volume | 47 |
Issue | 5 |
Pages | 669-698 |
DOI | https://doi.org/10.1080/01402390.2023.2200588 |
Public URL | https://durham-repository.worktribe.com/output/1175229 |
Published Journal Article (Advanced Online Version)
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Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Published Journal Article
(911 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
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