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Reducing discrimination: A bias versus noise perspective.

Jordan R Axt1, Calvin K Lai2

  • 1Social Science Research Institute.

Journal of Personality and Social Psychology
|March 8, 2019
PubMed
Summary
This summary is machine-generated.

Discrimination stems from noise (errors) and bias (unequal errors). Interventions targeting these distinct psychological mechanisms can reduce discrimination by addressing either noise, bias, or both simultaneously.

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Area of Science:

  • Psychology
  • Social Psychology
  • Decision-Making Science

Background:

  • Discrimination arises from incorporating irrelevant demographic data into decisions, leading to errors.
  • The extent of discrimination is determined by the total number of judgment errors (noise) and the disproportionate favoring of one group over another (bias).

Purpose of the Study:

  • To investigate the distinct psychological mechanisms underlying noise and bias in discrimination.
  • To examine how different interventions differentially impact noise and bias.

Main Methods:

  • Eight studies involving 7,921 participants were conducted.
  • Interventions included removing demographic information, altering decision time, modifying motivation, and instructing participants to avoid group favoritism.

Main Results:

  • Removing demographic data reduced both bias and noise.
  • Altering decision time or motivation affected noise but not bias.
  • Instructions to avoid favoritism impacted bias, not noise.
  • A combined intervention targeting both instructions and time affected both bias and noise.

Conclusions:

  • Noise and bias are distinct constructs influenced by different psychological factors and interventions.
  • Understanding the specific impact of interventions on noise and bias is crucial for effectively reducing discrimination.