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: In Processing, Post Processing
| Framework | Reference |
|---|---|
| AIUC-1 — AI Underwriting Company Standard | Prevent customer-defined high-risk outputs |
| NIST AI Risk Management Framework (AI 100-1) | Harmful bias / disparate performance |
| Framework | Reference |
|---|---|
| MIT AI Risk Repository | Unequal performance across groups |
| IBM AI Risk Atlas | Output bias (Fairness dimension) |
Source: HRA project taxonomy