---
title: Algorithmic Fairness in Child Welfare
type: concept
frequency: 3
papers_count: 3
related_concepts:
  - Racial Disparities in Algorithmic Decision-Making
  - Algorithmic Transparency and Explainability
  - Human-AI Collaboration
  - Algorithmic Transparency and Interpretability
tags:
  - concept
---
# Algorithmic Fairness in Child Welfare

## Definition

The systematic assessment and correction of algorithmic decision-making tools to ensure consistent and equitable performance across demographic subgroups (particularly by race and gender) in child protective services. Includes fairness metrics, cross-subgroup validation, and bias correction techniques throughout development and deployment phases.

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[Racial Disparities in Algorithmic Decision-Making]] | 2 |
| [[Algorithmic Transparency and Explainability]] | 1 |
| [[Human-AI Collaboration]] | 1 |
| [[Algorithmic Transparency and Interpretability]] | 1 |

## Papers

- [[A systematic review of sophisticated predictive and prescriptive analytics in child welfare- Accurac (Hall_2024_systematic)]]
- [[Improving human-AI partnerships in child welfare- Understanding worker practices, challenges, and desires for algorithmic decision support]]
- [[Algorithmic-Assisted Decision-Making Tools in Child Welfare Practice- A Systematic Review]]

## Assessment-Divergenz

Von 2 bewerteten Papers: 1 Divergenzen (50%)

