https://taxonomy.eticas.ai/risk/performance-equity
Maturity: emerging
The AI system performs systematically worse for some demographic groups than others — through higher error rates, lower accuracy, or reduced reliability — leading to unequal quality of service even when access is the same.
This subcategory is emerging. It has not yet been validated through established assessment methods.
Also known as: Group-wise error rate · Performance equity across populations
System type: ADM and LLM systems
Lifecycle stages: Pre Processing, In Processing, Post Processing
Status. Each mapping shows what it rests on. Reviewed means a reviewer has confirmed the mapping against the concept’s current definition and the framework edition the taxonomy currently references; when the only confirmation is that of the person who wrote the mapping, it reads Reviewed (author’s confirmation). Outdated means it was reviewed, but the concept’s definition has changed since, so the review has to be repeated. The other statuses mean that no review has been recorded yet. Inherited mappings have been in the taxonomy since before v5.7.0 and are unchanged. They carry no record of who made them or how, and some were checked by hand when the taxonomy first published its mappings. Agent-proposed mappings come from a review carried out by AI agents, which read the framework’s text and the concept’s definition and agreed on the relation; no person has confirmed them yet. Provisional mappings were made without access to the framework’s text. Unreviewed mappings are older mappings whose target or relation was revised in v5.7.0, and any other mapping without a review. Mappings to a superseded edition of a framework are not shown: where the provision continues, they are carried to the current edition. Mappings a review has changed or rejected are not shown.
| Framework | Reference | Status |
|---|---|---|
| AIUC-1 — AI Underwriting Company Standard | Prevent customer-defined high-risk outputs | Inherited |
| NIST AI Risk Management Framework (AI 100-1) | Fair – with Harmful Bias Managed | Agent-proposed |
| NIST AI Risk Management Framework (AI 100-1) | MEASURE 2.11: Fairness and bias – as identified in the MAP function – are evaluated and results are documented. | Agent-proposed |
| Framework | Reference | Status |
|---|---|---|
| MIT AI Risk Repository | Unequal performance across groups | Inherited |
Source: HRA project taxonomy