The intake record for a proposed AI use: business context, intended purpose and the uses ruled out, affected persons, decision authority, success metrics and error appetite, stored as fields on the registry entry so classification, thresholds, tests and impact assessments read the same facts 1.
- Developed in
- ch. 14, The use-case record
ch. 06, Intake and classification
ch. 05, Pattern: Use-Case Intake & Risk Tiering - Chapters
- ch. 05, Patterns · ch. 06, The Role · ch. 14, Development
- Source
- 1 numbered reference, listed below
Where it is used
4 chapters of the Body of Knowledge use the term. Each link opens the first section that does.
- 05 · Patterns Pattern: Use-Case Intake & Risk Tiering 1 mention
- 06 · The Role What the role owns, by workflow 1 mention
- 14 · Development The build as a chain of gates 15 mentions
- 16 · Fairness & XAI Choosing a fairness metric by use case 1 mention
Patterns that use this term
3 pattern pages use the term, most mentions first.
- Use-Case Intake & Risk Tiering 5 mentions
- FRIA-as-Code 1 mention
- Dataset Admission Gate 1 mention
Related terms
Sources
- [1] Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1 (risk tolerance and residual risk; seven trustworthy characteristics; transparency answers "what happened", explainability "how", interpretability "why"; MAP 1.1 intended purposes; MANAGE 1.1 go/no-go determination; profiles). NIST. 2023-01-26. https://doi.org/10.6028/NIST.AI.100-1 (verified: primary)
Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .