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1. Reflections on the Difference Between Implicit Bias and Bias on Implicit Measures

   https://doi.org/10.1080/1047840X.2022.2115729  

   Gawronski, Bertram; Ledgerwood, Alison; Eastwick, Paul W. (July 2022, Psychological Inquiry)
2. Implicit Bias and Antidiscrimination Policy

   https://doi.org/10.1177/2372732220939128  

   Gawronski, Bertram; Ledgerwood, Alison; Eastwick, Paul W. (October 2020, Policy Insights from the Behavioral and Brain Sciences)

   null (Ed.)

   The science behind implicit bias tests (e.g., Implicit Association Test) has become the target of increased criticism. However, policymakers seeking to combat discrimination care about reducing bias in people’s actual behaviors, not about changing a person’s score on an implicit bias test. In line with this argument, we postulate that scientific controversies about implicit bias tests are irrelevant for antidiscrimination policy, which should instead focus on implicit bias in actual discriminatory behavior that occurs outside of awareness (in addition to instances of explicit bias). Two well-documented mechanisms can lead to implicit bias in actual discriminatory behavior: biased weighting and biased interpretation of information about members of particular social groups. The policy relevance of the two mechanisms is illustrated with their impact on hiring and promotion decisions, jury selection, and policing. Implications for education and bias intervention are discussed. 

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3. Implicit Bias of Linear RNNs

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5. Can Implicit Bias Imply Adversarial Robustness?

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