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Beyond Predictive Algorithms in Child Welfare
March 12, 2024, 4:42 a.m. | Erina Seh-Young Moon, Devansh Saxena, Tegan Maharaj, Shion Guha
cs.LG updates on arXiv.org arxiv.org
Abstract: Caseworkers in the child welfare (CW) sector use predictive decision-making algorithms built on risk assessment (RA) data to guide and support CW decisions. Researchers have highlighted that RAs can contain biased signals which flatten CW case complexities and that the algorithms may benefit from incorporating contextually rich case narratives, i.e. - casenotes written by caseworkers. To investigate this hypothesized improvement, we quantitatively deconstructed two commonly used RAs from a United States CW agency. We trained …
abstract algorithms arxiv assessment benefit beyond case child complexities cs.cy cs.hc cs.lg data decision decisions flatten guide making predictive researchers risk risk assessment sector support type welfare
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