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Implicit Bias in the CourtroomJerry KangUniversity of California, Los Angeles (UCLA) - School of Law Mark W. Bennettaffiliation not provided to SSRN Devon W. CarbadoUniversity of California, Los Angeles (UCLA) - School of Law Pamela Caseyaffiliation not provided to SSRN Nilanjana DasguptaUniversity of Massachusetts at Amherst - Psychology David L. FaigmanUniversity of California Hastings College of the Law Rachel D. GodsilSeton Hall University - School of Law Anthony G. GreenwaldUniversity of Washington Justin D. LevinsonUniversity of Hawaii at Manoa - William S. Richardson School of Law Jennifer MnookinUniversity of California, Los Angeles (UCLA) - School of Law March 20, 2012 UCLA Law Review, Vol. 59, No. 5, 2012 UCLA School of Law Research Paper Abstract: Given the substantial and growing scientific literature on implicit bias, the time has now come to confront a critical question: What, if anything, should we do about implicit bias in the courtroom? The author team comprises legal academics, scientists, researchers, and even a sitting federal judge who seek to answer this question in accordance with “behavioral realism.” The Article first provides a succinct scientific introduction to implicit bias, with some important theoretical clarifications that distinguish between explicit, implicit, and structural forms of bias. Next, the article applies the science to two trajectories of bias relevant to the courtroom. One story follows a criminal defendant path; the other story follows a civil employment discrimination path. This application involves not only a focused scientific review but also a step-by-step examination of how criminal and civil trials proceed. Finally, the Article examines various concrete intervention strategies to counter implicit biases for key players in the justice system, such as the judge and jury.
Number of Pages in PDF File: 63 Keywords: implicit bias, IAT, implicit association test, behavioral realism, jury bias, judicial bias, debiasing, police, Iqbal, merit, discrimination Accepted Paper SeriesDate posted: March 21, 2012 ; Last revised: November 12, 2012Suggested CitationContact Information
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