---
title: Subgroup Fairness
type: concept
frequency: 2
papers_count: 2
related_concepts:
  - Intersectional Fairness
  - Multicalibration
  - Algorithmic Fairness
  - Fairness Gerrymandering
tags:
  - concept
---
# Subgroup Fairness

## Definition

Eine intersektionale Fairness-Notion, die fordert, dass ML-Systeme für alle möglichen Kombinationen geschützter Attribute faire Ergebnisse erzielen, um Diskriminierung von marginalen Subgruppen zu vermeiden.

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[Intersectional Fairness]] | 2 |
| [[Multicalibration]] | 2 |
| [[Algorithmic Fairness]] | 1 |
| [[Fairness Gerrymandering]] | 1 |

## Papers

- [[A Survey on Intersectional Fairness in Machine Learning- Notions, Mitigation, and Challenges]]
- [[A Survey on Intersectional Fairness in Machine Learning- Notions, Mitigation, and Challenges (Gohar_2023_Survey)]]

