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Related Experiment Video

Updated: Feb 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Tools for fairness: Increased structure in the selection process reduces discrimination.

Sima Wolgast1, Martin Bäckström1, Fredrik Björklund1

  • 1Department of Psychology, Lund University, Lund, Sweden.

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Summary

Structured selection processes improve hiring fairness and reduce discrimination. Using recruitment tools over subjective judgment helps identify qualified candidates, especially when motivation is high.

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Area of Science:

  • Organizational Psychology
  • Labor Economics
  • Human Resource Management

Background:

  • Employment discrimination presents significant challenges in labor markets.
  • Combating discrimination requires effective and fair applicant selection methods.

Purpose of the Study:

  • To investigate if increased structure in applicant selection enhances fairness.
  • To determine if structured selection improves the identification of qualified candidates.

Main Methods:

  • A computerized selection task was administered to students.
  • Participants were assigned to either a structured selection group (with systematizing tools) or an unstructured selection group (without tools).

Main Results:

  • Structured selection improved the identification of job-relevant criteria and selection of more qualified applicants.
  • Structured processes reduced ethnic discrimination, even when out-group applicants were more competent.
  • Increased motivation to follow the structured procedure amplified these positive effects.

Conclusions:

  • Implementing structured selection processes is beneficial for fairer and more effective hiring.
  • Motivational factors play a crucial role in maximizing the benefits of structured selection.
  • Recruitment tools and systematic information processing are key to overcoming biases in applicant selection.