Ethical, legal, and social challenges of data economy in defence the case of battlefield data
Bibliographic Data
| ID | 20398772 |
|---|---|
| Authors | Brian Kot (University of Oxford), Jack Burling Nebe (University of Oxford), Mariarosaria Taddeo (0000-0002-1181-649X, University of Oxford, corresponding author) |
| Year | 2026 |
| Volume | 41 |
| Issue | 2 |
| Pages | 1131-1148 |
| Publication date | 2026-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AI & Society (JOURNAL) |
| Journal identifiers | ISSN: 0951-5666 • E-ISSN: 1435-5655 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00146-025-02610-5 |
| OpenAlex | W4414401202 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
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
Adversary · Battlefield · Club · Hacker · National security · Trojan horse · Ethics and Social Impacts of AI · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection
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| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |