Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. (arXiv:2205.08928v1 [cs.HC])

Child welfare agencies across the United States are turning to data-driven
predictive technologies (commonly called predictive analytics) which use
government administrative data to assist workers' decision-making. While some
prior work has explored impacted stakeholders' concerns with current uses of
data-driven predictive risk models (PRMs), less work has asked stakeholders
whether such tools ought to be used in the first place. In this work, we
conducted a set of seven design workshops with 35 stakeholders who have been
impacted by the …

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