https://taxonomy.eticas.ai/risk/geographic-cultural-language-skew
Maturity: established
Systematic performance differences across geographies, cultures, or languages, often resulting from training data that overrepresents certain regions or linguistic traditions.
System type: ADM and LLM systems
Lifecycle stages: Pre Processing, In Processing, Post Processing
| Framework | Reference |
|---|---|
| NIST AI 600-1 — Generative AI Risk Profile | Harmful Bias & Homogenization |
| Framework | Reference |
|---|---|
| MIT AI Risk Repository | Unfair discrimination & misrepresentation |
| W3C Data Privacy Vocabulary — AI Extension | Non-Representative Sampling Bias |