Child Welfare Decision-Making: Evaluating Predictive Algorithms and Case Narratives
Risk assessment data in child welfare predictive algorithms may not accurately predict discharge outcomes, while case narratives provide contextual insights.
Analyzing the Limitations of Predictive Algorithms in Child Welfare
The author argues that risk assessment data in child welfare predictive algorithms is limited and cannot accurately predict discharge outcomes. They propose shifting towards using case narratives to better understand complex cases.
Understanding Human-AI Partnerships in Child Welfare Decision-Making
The author explores workers' experiences with AI-based decision support tools in child welfare, highlighting the factors guiding their reliance on these systems and the challenges they face in integrating algorithmic predictions into their decision-making processes.
Unheard: Louisville Foster Kids Speak Out Against Harm in Residential Care
The author highlights the systemic failures in investigating abuse allegations by children in state custody, emphasizing the lack of credibility given to their testimonies and the compromised investigative process.
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