Source conditions can alter the feasibility of a proposed use case by changing what can be established before a model or vendor is selected. The NIST AI RMF calls for human-oversight processes to be defined, assessed, and documented, and it describes qualitative, quantitative, and mixed-method tools for measuring AI risk. When a source leaves these matters unclear, the use case may remain difficult to assess; that is an evidence gap, not automatic proof that it will fail.
Which source conditions matter?
| Source condition | What to check | Effect on the feasibility case |
|---|---|---|
| Human oversight is defined | Whether the source identifies the oversight process rather than referring to it only as a principle | A defined process provides something concrete to examine. An undefined process leaves a basic design question open. |
| Human oversight is assessed | Whether the source explains how the process is evaluated | The existence of an oversight statement does not by itself establish the quality of the arrangement. |
| Human oversight is documented | Whether the source provides a record that can be reviewed | Documentation makes the oversight claim more inspectable; its absence leaves supporting evidence unresolved. |
| Risk measurement is described | Whether the source identifies qualitative, quantitative, or mixed-method approaches | A stated measurement approach gives the team a basis for further evaluation. Naming methods alone does not show which one fits the proposed use case. |
| The source is silent | Whether missing information has been identified explicitly | Silence should be recorded as unknown, not interpreted as evidence of safety, effectiveness, or feasibility. |
These conditions affect the strength of the feasibility case rather than guaranteeing a result.
How to check the source
- Locate the exact passage. Separate what the source expressly states from what the product team infers from it.
- Check all three oversight states. Record whether human oversight is defined, assessed, and documented, as called for by the NIST AI RMF. A statement covering only one state does not resolve the others.
- Check the measurement approach. The NIST AI RMF describes qualitative, quantitative, and mixed-method tools, techniques, and methodologies. Record which approach the source discusses and what evidence would still be needed for the proposed use case.
- Mark unresolved points. If the source does not explain an oversight process, its assessment, its documentation, or the relevant measurement method, that gap should remain visible.
- Keep the conclusion proportionate. A source may support further evaluation without establishing that the use case is suitable, compliant, or likely to succeed.
What must still be confirmed
The two cited NIST points do not resolve project-specific requirements, applicable legal or regulatory duties, operational constraints, or expected outcomes. Those conclusions require separate, verified evidence.
The defensible conclusion is therefore conditional: documented oversight and a described risk-measurement approach can strengthen the feasibility assessment, while unclear or missing source conditions remain open questions rather than proof of either success or failure.