▎AI & Multi-Agent
Model Cards for Defense
Documentation artifacts describing model purpose, training data, metrics, limits, and approved uses.
Definition
Model Cards for Defense is documentation artifacts describing model purpose, training data, metrics, limits, and approved uses. In defense applications, it makes model capabilities and constraints visible to commanders, integrators, and certifiers. The hard part is paper compliance without operational enforcement, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as a contract attached to each KhanBMS model package, tying the concept back to modular command, edge execution, and auditable authority.
Reference attributes
- Layer
- AI documentation artifact
- Operational value
- Makes model capabilities and constraints visible to commanders, integrators, and certifiers
- Primary risk
- Paper compliance without operational enforcement
- KhanBMS role
- A contract attached to each KhanBMS model package
Related terms
- AI Bill of Materials (AIBOM)Inventory of models, datasets, adapters, tools, dependencies, licenses, and provenance in an AI system.
- Edge Model RegistryVersioned catalog that tracks which models, adapters, signatures, and policies are deployed to tactical nodes.
- Secure Model ProvenanceCryptographic and procedural evidence tracking where a model, adapter, dataset, or artifact came from.
- Responsible AI for Defense (RAI)Governance practices that align military AI with lawful, ethical, reliable, and accountable use.
#mlops#documentation#trust
