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Ethical, legal, and social challenges of data economy in defence the case of battlefield data

Abstract:
Battlefield data have become a critical asset in contemporary defence. Yet there is a gap in the relevant literature, whilst it addresses various aspects of defence data management—including cybersecurity, interoperability, and decision-making support—it overlooks how these data should be collected, curated, and accessed to enhance the responsible development of AI-enabled defence capabilities. This article addresses this gap first by reviewing existing data policies strategies of NATO and Five Eyes Member States to assess the extent to which they focus on battlefield data, and then by outlining how national defence organisations should manage these data to maximise their strategic value whilst mitigating the attendant ethical, legal, and social risks. We argue that due to their non-rivalrous, artificially excludable nature, battlefield data should be conceptualised as an artificial club good and that national defence organisations have ethical obligations to act as club manager to leverage the potential of these data to develop more robust, reliable and controllable AI defence capabilities. We conclude the analysis proposing two sets of policy recommendations to aid national defence organisations in discharging their responsibilities as club managers for battlefield data.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00146-025-02610-5

Authors

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author


Publisher:
Springer
Journal:
AI and Society More from this journal
Volume:
41
Issue:
2
Pages:
1131-1148
Publication date:
2025-09-22
Acceptance date:
2025-09-06
DOI:
EISSN:
1435-5655
ISSN:
0951-5666


Language:
English
Keywords:
Source identifiers:
3788633
Deposit date:
2026-02-23
ARK identifier:
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