arXiv:2606.09414v1 Announce Type: cross Abstract: This report examines practical challenges in operationalising JSP 936 Part 1 for AI assurance in UK Defence. Using a structured interpretive review of the directive's requirements, the analysis identifies eight thematic challenge areas adequacy of evidence and argument, management of human interaction with AI, definition of the operational environment, integration of AI within systems of systems, assessment and maintenance of AI performance, analysis of safety and security, measurement of ethicality, and mitigation of the inherent complexities
The increasing integration of AI into critical defence systems necessitates robust assurance frameworks, a challenge amplified by the rapid pace of AI development and deployment.
The report highlights the critical friction points in ensuring AI safety, security, and ethicality within defence, which is vital for maintaining operational integrity and public trust in AI-powered military capabilities.
This report shifts the focus from theoretical AI ethics in defence to practical, operational challenges in implementing assurance, signalling a maturing understanding of AI deployment hurdles.
- · AI assurance and auditing firms
- · Defence contractors with robust AI ethics frameworks
- · UK Ministry of Defence
- · AI developers ignoring ethical and safety standards
- · Defence programs with weak AI governance
- · Nations without clear AI assurance guidelines
Immediate challenges in deploying advanced AI systems in UK defence will emerge due to compliance and assurance hurdles.
Increased investment will likely be directed towards developing tools and methodologies for AI verification, validation, and assurance in defence applications.
The UK's approach to AI assurance in defence could set a precedent for NATO allies, influencing broader international standards and interoperability for AI systems.
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Read at arXiv cs.AI