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• W4386370663 abstract "Algorithms in public services such as child welfare, criminal justice, and education are increasingly being used to make high-stakes decisions about human lives. Drawing upon findings from a two-year ethnography conducted at a child welfare agency, we highlight how algorithmic systems are embedded within a complex decision-making ecosystem at critical points of the child welfare process. Caseworkers interact with algorithms in their daily lives where they must collect information about families and feed it to algorithms to make critical decisions. We show how the interplay between systemic mechanics and algorithmic decision-making can adversely impact the fairness of the decision-making process itself. We show how functionality issues in algorithmic systems can lead to process-oriented harms where they adversely affect the nature of professional practice, and administration at the agency, and lead to inconsistent and unreliable decisions at the street level. In addition, caseworkers are compelled to undertake additional labor in the form of repair work to restore disrupted administrative processes and decision-making, all while facing organizational pressures and time and resource constraints. Finally, we share the case study of a simple algorithmic tool that centers caseworkers’ decision-making within a trauma-informed framework and leads to better outcomes, however, required a significant amount of investments on the agency’s part in creating the ecosystem for its proper use." @default.
• W4386370663 created "2023-09-02" @default.
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• W4386370663 date "2023-09-01" @default.
• W4386370663 modified "2023-10-07" @default.
• W4386370663 title "Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-Making" @default.
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• W4386370663 doi "https://doi.org/10.1145/3616473" @default.
• W4386370663 hasPublicationYear "2023" @default.
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