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From Tools to Teammates: Human-Machine Teaming and the Future of Command and Control in the Australian Army

Neads, Alex; Galbreath, David J.; Farrell, Theo

From Tools to Teammates: Human-Machine Teaming and the Future of Command and Control in the Australian Army Thumbnail


Authors

David J. Galbreath

Theo Farrell



Abstract

In 2018, the Australian Army launched its Robotic and Autonomous Systems Strategy to capitalise on the military opportunities presented by the much-anticipated ‘fourth industrial revolution’ in artificial intelligence and machine learning software. The key to realising this potential lies in the effective integration of soldiers and autonomous systems, known as human-machine teaming. Through human-machine teaming, military automation is predicted to radically reshape the conduct of war, with substantial implications for the future of command and control. However, such visions depend not just on the technical capabilities of new autonomous systems, but also on the choices soldiers make about how to use them. This paper explores the compatibility of emerging concepts of human-machine teaming with existing Australian Army culture and practices, drawing on interviews with serving officers and focusing specifically on the implications for military command and control. The paper assesses the risks and opportunities arising from automation for future concepts, doctrine development and organisational change.

Citation

Neads, A., Galbreath, D. J., & Farrell, T. (2021). From Tools to Teammates: Human-Machine Teaming and the Future of Command and Control in the Australian Army. [No known commissioning body]

Report Type Technical Report
Online Publication Date Sep 20, 2021
Publication Date 2021
Deposit Date Sep 24, 2021
Publicly Available Date May 11, 2023
Series ISSN 2653-0406,2653-0414
Publisher URL https://researchcentre.army.gov.au/library/occasional-papers/tools-teammates
Additional Information Publisher: Commonwealth of Australia - Australian Army Research Centre
Type: monograph
Subtype: working_paper

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