Study finds that decision-making algorithms do not improve the lives of youth in Child Welfare System
Algorithms used by states within the U.S. Child Welfare System (CWS) to make unbiased, evidence-based decisions about child placement and predicting risk of maltreatment miss the bigger picture, finds a research team from Marquette University and the University of Central Florida. A systematic review and analysis of 50 peer-reviewed publications on algorithms used by CWS shows that they lack a human-centric approach and use models that mainly focus on risk assessment to minimize future harm and not on improving the quality of lives of foster children. Based on the findings, Dr. Shion Guha, assistant professor of computer science at...
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