---
title: Algorithmic Bias
type: concept
frequency: 29
papers_count: 29
related_concepts:
  - AI Literacy
  - Algorithmic Fairness
  - Gender Bias in AI
  - Explainable AI (XAI)
  - Intersectional Feminism in Technology
tags:
  - concept
---
# Algorithmic Bias

## Definition

Systematische Verzerrungen in Machine-Learning-Systemen, die durch männlich-dominierte Entwicklungsteams, geschlechtsspezifische Trainingsdaten und unbewusste Entscheidungen in allen Phasen der Modellentwicklung entstehen und bestehende gesellschaftliche Ungleichheiten reproduzieren.

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[AI Literacy]] | 13 |
| [[Algorithmic Fairness]] | 11 |
| [[Gender Bias in AI]] | 4 |
| [[Explainable AI (XAI)]] | 2 |
| [[Intersectional Feminism in Technology]] | 2 |
| [[Digital Divide]] | 2 |
| [[Prompt Engineering]] | 2 |
| [[Design Justice]] | 2 |

## Papers

- [[Feminist Perspectives on AI- Ethical Considerations in Algorithmic Decision-Making]]
- [[Artificial Intelligence (AI) Literacy for Social Work- Implications for Core Competencies]]
- [[The AI literacy development canvas- Assessing and building AI literacy in organizations]]
- [[AI literacy and competency- definitions, frameworks, development and future research directions]]
- [[Intersectional Artificial Intelligence Is Essential- Polyvocal, Multimodal, Experimental Methods to Save AI]]
- [[Imagination, Algorithms and News- Developing AI Literacy for Journalism]]
- [[AI literacy in teacher education- Empowering educators through critical co-discovery]]
- [[Explainable Artificial Intelligence]]
- [[Feminist reflections for the development of Artificial Intelligence]]
- [[Assessing trustworthy AI- Technical and legal perspectives of fairness in AI]]
- [[Feministische KI – Künstliche Intelligenz für alle- [Feminist AI – Artificial intelligence for everyone-]]]
- [[How AI hype impacts the LGBTQ+ community]]
- [[Artificial Intelligence Competence Needs for Youth Workers]]
- [[Development of the “Scale for the assessment of non-experts’ AI literacy” – An exploratory factor analysis]]
- [[Artificial Intelligence in a Structurally Unjust Society]]
- [[What is AI Literacy- Competencies and Design Considerations]]
- [[Feministische Netzpolitik und Künstliche Intelligenz in der politischen Bildung [Feminist network po (Mosene_2023_Feministische_Netzpolitik_un)]]
- [[Factoring the matrix of domination- A critical review and reimagination of intersectionality in AI f (Ovalle_2023_Factoring_the_Matrix_of_Domi)]]
- [[AI algorithm transparency, pipelines for trust not prisms- mitigating general negative attitudes and enhancing trust toward AI]]
- [[Prejudiced interactions with large language models (LLMs) reduce trustworthiness and behavioral intentions among members of stigmatized groups]]
- [[AI literacy for users – A comprehensive review and future research directions of learning methods, components, and effects]]
- [[AI Literacy- A Framework to Understand, Evaluate, and Use Emerging Technology]]
- [[Investigating AI systems- examining data and algorithmic bias through hermeneutic reverse engineering]]
- [[Feminist Data Set]]
- [[Generative AI and opportunities for feminist classroom assignments]]
- [[Artificial Intelligence and Intersectionality (Ulnicane_2024_Artificial_Intelligence_an)]]
- [[Feminism Confronts AI- The Gender Relations of Digitalisation]]
- [[Fragile Foundations- Hidden Risks of Generative AI]]
- [[Discriminating Systems- Gender, Race, and Power in AI]]

## Assessment-Divergenz

Von 21 bewerteten Papers: 12 Divergenzen (57%)

