---
title: Data Feminism
type: concept
frequency: 3
papers_count: 3
related_concepts:
  - Algorithmic Fairness
  - Gender Bias in NLP
  - Intersectional Feminism
  - AI Literacy
  - Intersectional Algorithmic Bias
tags:
  - concept
---
# Data Feminism

## Definition

Ein methodischer Ansatz, der sieben Prinzipien (Examine Power, Challenge Power, Consider Context, Make Labor Visible, usw.) anwendet, um Machtverhältnisse in Datensammlung, -analyse und KI-Systemen zu kritisieren und gerechtere Praktiken zu ermöglichen.

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[Algorithmic Fairness]] | 1 |
| [[Gender Bias in NLP]] | 1 |
| [[Intersectional Feminism]] | 1 |
| [[AI Literacy]] | 1 |
| [[Intersectional Algorithmic Bias]] | 1 |
| [[Algorithmic Bias]] | 1 |
| [[Gender Bias in AI Systems]] | 1 |

## Papers

- [[Data feminism for AI]]
- [[AI & Intersectionality- A Toolkit For Fairness & Inclusion]]
- [[Feminist Data Set]]

## Assessment-Divergenz

Von 2 bewerteten Papers: 2 Divergenzen (100%)

