Bridging Understandings of the Military AI Lifecycle: A Transdisciplinary Socio-Technical Approach to Governance
Publish Date: 2026-06-12 08:02:00
Source Domain: opiniojuris.org
- Different groups view the lifecycle of military AI systems differently, impacting approaches to governance, responsibility, accountability, and the role of human judgment.
- The engineering lifecycle focuses on a linear progression of development phases, while other disciplines see the lifecycle as an ongoing socio-technical relationship.
- Governance of military AI should start at the planning stage to consider human control, agency, and moral/legal responsibilities, rather than addressing them only after development begins.
- Documentation is crucial for linking activities across the lifecycle to create traceability, accountability, and operational insights.
- Transdisciplinary approaches involving technical, operational, legal, ethical, and policy perspectives are needed to understand the complex interactions in the military AI lifecycle.
- Governance of military AI systems should incorporate continuous learning through feedback loops and reassessment based on deployment experiences.
