BLUF
Generative AI can rapidly support military decision-making; but without embedded tactical-level evaluation and benchmarking, its outputs risk drifting into error. Instituting a ‘quality assurance sentinel’ ensures AI reliability, operational integrity, and trust in mission-critical intelligence.Learning Outcomes:
- Recognise the operational risks of using generative AI without continual evaluation and quality control in high-stakes environments.
- Apply prompt engineering, baseline testing, and output benchmarking to maintain consistent AI performance during mission planning and intelligence tasks.
- Implement a “quality assurance sentinel” framework to safeguard data integrity, detect model drift, and build institutional knowledge within small operational teams.
