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Updated: Jan 24, 2026

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
Published on: February 29, 2020
Interventions designed to reduce implicit prejudices and implicit stereotypes in real world contexts: a systematic
Chloë FitzGerald1, Angela Martin2, Delphine Berner3
1iEH2 (Institute for Ethics, History and the Humanities), Faculty of Medicine, University of Geneva, Geneva, Switzerland. cnsfitzgerald@gmail.com.
Reducing implicit bias is challenging. While some methods like exposure to counterstereotypical examples show promise, others are ineffective. Widespread structural changes are recommended over individual bias reduction programs.
Area of Science:
- Psychology
- Social Psychology
- Intervention Science
Background:
- Implicit biases are prevalent in society and professional settings, potentially causing discrimination.
- Numerous interventions aim to mitigate implicit bias, but their efficacy is uncertain.
- Systematic reviews are crucial for evaluating the effectiveness of these interventions.
Purpose of the Study:
- To systematically review interventions designed to reduce implicit bias.
- To assess the effectiveness of various bias reduction techniques.
- To identify promising and unpromising intervention strategies.
Main Methods:
- A systematic review of peer-reviewed studies published between May 2005 and April 2015.
- Searches conducted in ERIC, PubMed, and PsycINFO databases.
- Inclusion of studies on adults measuring implicit bias using the Implicit Association Test (IAT) or similar methods.
Main Results:
- Thirty eligible articles were identified.
- Exposure to counterstereotypical exemplars showed potential for implicit bias reduction.
- Engaging with others' perspectives appeared ineffective for short-term bias reduction.
- Limited robust data exists for many intervention strategies.
Conclusions:
- Caution is advised regarding current implicit bias reduction programs.
- Individual-level interventions may have limited effectiveness.
- Structural and institutional changes are strongly supported as a means to address bias.
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