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Mahzarin Banaji is a professor of psychology at Harvard University. In the 90s, she and her colleagues pioneered the research in social psychology on implicit bias. They are perhaps best known for creating the Implicit Association Test (IAT), which purports to measure the preferences that people are unable or unwilling to say they have. Using this tool, psychologists have arrived at fascinating findings about bias, which have spawned a productive (and sometimes contentious) field of research. Together with Anthony Greenwald, Dr. Banaji wrote the popular book, Blindspot: Hidden Biases of Good People.
I talked with Mahzarin about her early days studying psychology and what prompted her to study implicit bias. She also shared new research on how implicit biases have changed over time and what this means for how to achieve social progress.
If you’re interested in the IAT—the test that researchers use to measure implicit bias—you can take one yourself at the official Project Implicit website.
You can also check out one of Mahzarin’s recent projects: Outsmarting Human Minds. It’s a website devoted to bringing insights from social psychology to the public.
Finally, I usually link to a bunch of primary articles that come up in the episode, but we covered a lot of ground in this one! However, we spent a lot of time on a recent paper led by Mahzarin’s graduate student, Tessa Charlesworth, on how implicit biases have changed over time (Charlesworth & Banaji, 2019). For an accessible summary of this research, check out their article in Harvard Business Review.
For a transcript of this show, visit the episode's webpage: http://opinionsciencepodcast.com/episode/implicit-bias-with-mahzarin-banaji/
Learn more about Opinion Science at http://opinionsciencepodcast.com/ and follow @OpinionSciPod on Twitter.
For a transcript of this episode, visit this episode's page at: http://opinionsciencepodcast.com/episodes/
Learn more about Opinion Science at http://opinionsciencepodcast.com/ and follow @OpinionSciPod on Twitter.
By Andy Luttrell4.9
3838 ratings
Mahzarin Banaji is a professor of psychology at Harvard University. In the 90s, she and her colleagues pioneered the research in social psychology on implicit bias. They are perhaps best known for creating the Implicit Association Test (IAT), which purports to measure the preferences that people are unable or unwilling to say they have. Using this tool, psychologists have arrived at fascinating findings about bias, which have spawned a productive (and sometimes contentious) field of research. Together with Anthony Greenwald, Dr. Banaji wrote the popular book, Blindspot: Hidden Biases of Good People.
I talked with Mahzarin about her early days studying psychology and what prompted her to study implicit bias. She also shared new research on how implicit biases have changed over time and what this means for how to achieve social progress.
If you’re interested in the IAT—the test that researchers use to measure implicit bias—you can take one yourself at the official Project Implicit website.
You can also check out one of Mahzarin’s recent projects: Outsmarting Human Minds. It’s a website devoted to bringing insights from social psychology to the public.
Finally, I usually link to a bunch of primary articles that come up in the episode, but we covered a lot of ground in this one! However, we spent a lot of time on a recent paper led by Mahzarin’s graduate student, Tessa Charlesworth, on how implicit biases have changed over time (Charlesworth & Banaji, 2019). For an accessible summary of this research, check out their article in Harvard Business Review.
For a transcript of this show, visit the episode's webpage: http://opinionsciencepodcast.com/episode/implicit-bias-with-mahzarin-banaji/
Learn more about Opinion Science at http://opinionsciencepodcast.com/ and follow @OpinionSciPod on Twitter.
For a transcript of this episode, visit this episode's page at: http://opinionsciencepodcast.com/episodes/
Learn more about Opinion Science at http://opinionsciencepodcast.com/ and follow @OpinionSciPod on Twitter.

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