Ethical 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, while 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 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 while mitigating the attendant ethical, legal, and social risks. We argue that due to their non-rivalrous (they are not consumed by access/use), artificially excludable nature, battlefield data should be conceptualised as an artificial club good and that national defence organisations have moral 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 a set of policy recommendations to aid national defence organisations in discharging their responsibilities as club managers for battlefield data.

Keywords: artificial intelligence, battlefield data, data-centric defence, data governance, data sovereignty, defence, defence digitalisation, defence technology