A Systematic Review of Sophisticated Predictive and Prescriptive Analytics in Child Welfare: Accuracy, Equity, and Bias.

Child welfare agencies increasingly use machine learning models to predict outcomes and inform decisions. These tools are intended to increase accuracy and fairness but can also amplify bias. This systematic review explores how researchers addressed ethics, equity, bias, and model performance in the...

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Publicado en:	Child & Adolescent Social Work Journal Vol. 41; no. 6; pp. 831 - 848
Autores principales:	Hall, Seventy F., Sage, Melanie, Scott, Carol F., Joseph, Kenneth
Formato:	Artículo
Publicado:	Springer Nature Dec2024
Materias:	Child welfare Social workers Decision making Risk assessment Prediction models Data analysis Research funding Data analytics Descriptive statistics Mann Whitney U Test Systematic reviews Statistics Machine learning Algorithms
Acceso en línea:	Ver este registro en EBSCOhost