---
title: Prompt Engineering for Bias Mitigation
type: concept
frequency: 4
papers_count: 4
related_concepts:
  - Cultural Bias in Large Language Models
  - Orientalism in AI Systems
  - Algorithmic Fairness Evaluation
  - Chain-of-Thought Reasoning
  - Algorithmic Fairness in NLP
tags:
  - concept
---
# Prompt Engineering for Bias Mitigation

## Definition

Die systematische Verwendung von Prompt-Modifizierern und spezifischen Formulierungen, um Verzerrungen in generativen KI-Modellen zu reduzieren oder zu kontrollieren. Das Paper zeigt, dass diese Technik fragmentarisch wirkt und stark von der Sequenzierung abhängt.

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[Cultural Bias in Large Language Models]] | 1 |
| [[Orientalism in AI Systems]] | 1 |
| [[Algorithmic Fairness Evaluation]] | 1 |
| [[Chain-of-Thought Reasoning]] | 1 |
| [[Algorithmic Fairness in NLP]] | 1 |

## Papers

- [[Prompt Engineering Techniques for Mitigating Cultural Bias Against Arabs and Muslims in Large Language Models- A Systematic Review]]
- [[The power of prompts- Evaluating and mitigating gender bias in MT with LLMs]]
- [[Can prompt modifiers control bias- A comparative analysis of text-to-image generative models]]
- [[Scaling implicit bias analysis across transformer-based language models through embedding association test and prompt engineering]]

## Assessment-Divergenz

Von 3 bewerteten Papers: 2 Divergenzen (67%)

