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Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts
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References

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  • 2019Algorithm appreciation: People prefer algorithmic to human judgment2,045 cited
  • 2017Human Decisions and Machine Predictions1,039 cited
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  • 2015Evidence for countercyclical risk aversion: an experiment with financial professionals493 cited
  • 2019The Principles and Limits of Algorithm-in-the-Loop Decision Making386 cited
  • 2001Inside the Judicial Mind318 cited
  • 2020Technologies of Crime Prediction: The Reception of Algorithms in Policing and Criminal Courts280 cited
  • 2019Disparate Interactions275 cited
  • 2020A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores221 cited
  • 1995Judgemental adjustment of initial forecasts: Its effectiveness and biases171 cited
  • 2020Algorithmic realism161 cited
  • 2019The Moral Limits of Predictive Practices: The Case of Credit-Based Insurance Scores147 cited
  • 2019Human Decision Making with Machine Assistance

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113 cited
  • 2002Choice preferences without inferences: subconscious priming of risk attitudes96 cited
  • Cited by

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    • 2023Public Health Calls for/with AI: An Ethnographic Perspective32 cited
    • 2023Regulating Government AI and the Challenge of Sociotechnical Design30 cited
    • 2023Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making28 cited
    • 2023Differential Fairness: An Intersectional Framework for Fair AI27 cited
    • 2024Beyond the Hype: A Critical Evaluation of Predictive Analytics Accuracy in High-Stakes Business Decisions24 cited
    • 2022Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology22 cited
    • 2022Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening20 cited
    • 2023More or less discrimination? Practical feasibility of fairness auditing of technologies for personnel selection20 cited
    • 2023People Perceive Algorithmic Assessments as Less Fair and Trustworthy Than Identical Human Assessments18 cited
    • 2023On (assessing) the fairness of risk score models17 cited