---
title: Responsible AI Development
type: concept
frequency: 2
papers_count: 2
related_concepts:
  - Algorithmic Fairness
  - Gender Bias in AI Systems
  - Intersectionality in AI
  - Gender Bias in Large Language Models
  - Reinforcement Learning from Human Feedback (RLHF)
tags:
  - concept
---
# Responsible AI Development

## Definition

Normative Forderung nach transparenten, inklusiven und ethisch fundierten Prozessen bei der Entwicklung von KI-Systemen, die marginalisierte Gruppen schützen und Geschlechtergerechtigkeit gewährleisten.

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[Algorithmic Fairness]] | 2 |
| [[Gender Bias in AI Systems]] | 1 |
| [[Intersectionality in AI]] | 1 |
| [[Gender Bias in Large Language Models]] | 1 |
| [[Reinforcement Learning from Human Feedback (RLHF)]] | 1 |

## Papers

- [[Female perspectives on algorithmic bias- Implications for AI researchers and practitioners]]
- [[Debiasing prompts for gender bias in large language models]]

## Assessment-Divergenz

Von 1 bewerteten Papers: 0 Divergenzen (0%)

