From capability to application.
AI turns data into predictions, generated content, and recommendations. Useful deployment starts with a defined task, representative evaluation, and clear accountability for results.
Questions worth asking
Evaluate a narrow use case before expanding. Document the data used, test results, failure modes, and the person responsible for operating the system.
Where disciplines connect
Progress in this field depends on reliable infrastructure, skilled people, trusted information, and practical collaboration. NAOAT’s cross-sector approach connects the technical questions with the operational realities of bringing new capabilities into use.
This overview is introductory. For current technical guidance, visit NIST AI Risk Management Framework ↗. External organizations are resources, not NAOAT partners or endorsers.