SECURING THE BLACK BOX: A TECHNO-DIPLOMATIC FRAMEWORK FOR AI INTEGRATION IN MODERN DEFENCE ALLIANCES

Abstract

Integrating Artificial Intelligence (AI) into modern defence alliances creates a serious trust issue: the “black box” problem. When algorithms are opaque, they undermine the inter-state trust that coalitions need to operate effectively. This paper examines the conflict between strict national data sovereignty and operational demands for shared intelligence. Using a qualitative approach that draws on recent developments from NATO’s DIANA initiative and AUKUS Pillar 2, I propose a “Techno-Diplomatic Framework”. The study argues that traditional hardware standards are insufficient for managing probabilistic machine learning. Instead, it suggests a governance model that utilises Privacy-Enhancing Technologies, specifically Federated Learning and Confidential Computing, as diplomatic enablers. By harmonising technical tools with normative alignment, alliances can achieve “cognitive interoperability”. This approach allows nations to collaborate on sensitive training without exposing sovereign data, effectively transforming the black box from a vulnerability into a secured asset for collective defence.