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How ensembling AI and public managers improves decision-making
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References

  • 2020Human Trust in Artificial Intelligence: Review of Empirical Research2,874 cited
  • 2021Artificial Intelligence and Management: The Automation–Augmentation Paradox2,718 cited
  • 2005New Public Management Is Dead--Long Live Digital-Era Governance2,630 cited
  • 2004Groups of diverse problem solvers can outperform groups of high-ability problem solvers2,103 cited
  • 2019Algorithm appreciation: People prefer algorithmic to human judgment2,045 cited
  • 2016Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them1,225 cited
  • 2017What can machine learning do? Workforce implications1,126 cited
  • 2002From Street‐Level to System‐Level Bureaucracies: How Information and Communication Technology is Transforming Administrative Discretion and Constitutional Control962 cited
  • 2017Meta-analysis of field experiments shows no change in racial discrimination in hiring over time877 cited
  • 2019Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads854 cited
  • 2019A systematic review of algorithm aversion in augmented decision making809 cited
  • 2020Accountable Artificial Intelligence: Holding Algorithms to Account647 cited
  • 2024When combinations of humans and AI are useful: A systematic review and meta-analysis583 cited
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Beyond prediction: Using big data for policy problems
575 cited
  • 2020When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions548 cited
  • 2021The Janus Face of Artificial Intelligence Feedback: Deployment Versus Disclosure Effects on Employee Performance530 cited
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