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Pitfalls of Machine Learning-Based Personnel Selection
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References

  • 2017Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning1,928 cited
  • 2005The Problem of Measurement Model Misspecification in Behavioral and Organizational Research and Some Recommended Solutions.1,675 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2020Mitigating bias in algorithmic hiring830 cited
  • 2018AI can be sexist and racist — it’s time to make it fair764 cited
  • 2015The Modeling and Assessment of Work Performance615 cited
  • 2008MEAN RACIAL‐ETHNIC DIFFERENCES IN EMPLOYEE SALES PERFORMANCE: THE MODERATING ROLE OF DIVERSITY CLIMATE409 cited
  • 1992The criterion problem: 1917-1992.403 cited
  • 2015A Handbook of Test Construction (Psychology Revivals)397 cited
  • 2000Correction for range restriction: An expanded typology.397 cited
  • 2018Algorithmic Fairness278 cited
  • 2018Detecting racial bias in algorithms and machine learning260 cited
  • 2019AI in talent acquisition: a review of AI-applications used in recruitment and selection243 cited
  • 2019Personnel selection in the digital age: a review of validity and applicant reactions, and future research challenges218 cited
  • 2016Productivity and Selection of Human Capital with Machine Learning

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  • 2019An ROI-based review of HR analytics: practical implementation tools174 cited
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