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Updated: Feb 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Tools for fairness: Increased structure in the selection process reduces discrimination
Sima Wolgast1, Martin Bäckström1, Fredrik Björklund1
1Department of Psychology, Lund University, Lund, Sweden.
Abstract:
Employment discrimination causes problems at the labor market, and is hard to combat. Can increasing the degree of structure when selecting applicants increase fairness? Students were asked to perform a computerized selection task and were either provided with tools for systematizing information about the applicants (structured selection) or no such tools (unstructured selection). We hypothesized and found that a structured process, where employing recruitment tools rather than the recruiter's impressionistic judgment is key, improves the ability to identify job-relevant criteria and hence selecting more qualified applicants, even when in-group favoritism is tempting (e.g. when the outgroup applicants are more competent). Increasing structure helped recruiters select more competent applicants and reduced ethnic discrimination. Increasing the motivation to carefully follow the structured procedure strengthened these effects further. We conclude that structure pays off, and that motivational factors should be taken into account in order for it to have the optimal effect.
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