An organisation's own rating of an AI use case, computed at intake by a versioned policy from declared profile fields such as autonomy, decision impact, exposure, reversibility, vulnerable groups, data class and third parties. The tier selects the assessments, evals, thresholds, approvers and review cadence a system must pass; it sits beside the legal classification, not in place of it.
- Developed in
- ch. 13, Contributing factors and the use-case risk profile
ch. 05, Pattern: Use-Case Intake & Risk Tiering - Chapters
- ch. 05, Patterns · ch. 06, The Role · ch. 12, Governance Program · ch. 13, Risk Management
- Contrast with
- High-risk AI system
- Source
- Defined by this Body of Knowledge: the section it is developed in is the source
Where it is used
8 chapters of the Body of Knowledge use the term. Each link opens the first section that does.
- 04 · The Stack Layer 03: Evals & Red Teaming as Evidence 2 mentions
- 06 · The Role What the role owns, by workflow 3 mentions
- 10 · Reading List Incident and risk repositories (the empirical record) 1 mention
- 11 · AI Defined Four definitions, compared 6 mentions
- 12 · Governance Program Policies across the lifecycle 1 mention
- 13 · Risk Management Assessing risk: the likelihood-by-severity matrix 1 mention
- 15 · Deployment The deployment decision 6 mentions
- 22 · Principles & Standards OECD AI Principles 1 mention
Patterns that use this term
2 pattern pages use the term, most mentions first.
- Use-Case Intake & Risk Tiering 2 mentions
- Vendor / Model Due-Diligence Gate 1 mention
Related terms
Sources
No external source: the term is coined or used in a specific sense by this Body of Knowledge, and the section linked under "Developed in" is its source.
Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .