---
title: Intersectional Algorithmic Bias
type: concept
frequency: 5
papers_count: 5
related_concepts:
  - Gender Bias in Large Language Models
  - AI Literacy
  - Data Feminism
  - Feminist AI
tags:
  - concept
---
# Intersectional Algorithmic Bias

## Definition

AI-bedingte Diskriminierung, die durch Überlagerung mehrerer marginalisierter Identitätsmerkmale (Rasse, Geschlecht, Klasse, Migrationsstatus) entsteht und Menschen mit multiplen vulnerablen Positionen in spezifischen Weisen schadet (z.B. Black women in Gesichtserkennung, migrant families in Wohlfahrtssystemen).

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[Gender Bias in Large Language Models]] | 1 |
| [[AI Literacy]] | 1 |
| [[Data Feminism]] | 1 |
| [[Feminist AI]] | 1 |

## Papers

- [[Measuring gender and racial biases in large language models- Intersectional evidence from automated resume evaluation]]
- [[Assessing GPT's bias towards stigmatized social groups- An intersectional case study on nationality prejudice and psychophobia]]
- [[AI & Intersectionality- A Toolkit For Fairness & Inclusion]]
- [[Shaping feminist artificial intelligence]]
- [[Introduction to the digital welfare state- Contestations, considerations and entanglements]]

## Assessment-Divergenz

Von 2 bewerteten Papers: 2 Divergenzen (100%)

