Implicit Bias Training Pre-Reading
To prime participants for our Implicit Bias Training, we offer a pre-reading which includes three short articles. The first article by the Harvard Business Review is titled "3 Ways to Make Less Biased Decisions." The second article is from the American Medical Association and is titled "Reducing Bias in Academic Search Committees." The last article from The New York Times is titled "A Fix for Gender Bias in Health Care? Check." Access all three articles here.
NIH Implicit Bias Training Course
Offered by the National Institutes, this three-module course is designed to help users learn what bias is, how to recognize it and how to minimize its impact. It expands on the original two-module course “NIH Implicit Bias” by providing users with knowledge and strategies to create psychological safety and enhance employee engagement to foster an inclusive workplace culture.
Implicit Association Tests
Above is the link to the Implicit Association Test (IAT), which people have used as one tool to assess their implicit preference based on sociodemographics such as race, gender, and sexuality. Be advised that this is one way in which we can assess our biases and should not be misused or taken out of context without additional Implicit bias training/education. After clicking the link above, log in as a guest, acknowledge "I wish to proceed" and follow the instructions to complete the race IAT, gender-career IAT, sexuality IAT and disability IAT. If you are interested in doing others, you might consider the religion IAT, Asian American IAT and weight IAT.
The Influence of Unconscious Bias In Decision Making (Faculty Search Committees)
This course examines how myths about fit and merit impact the hiring process at academic institutions. Course takers will delve into several common myths surrounding the employment of women, people of color, and LGBTQ community members while considering the role that unconscious and covert bias can play in academia. This course provides practical solutions for hiring committees intent on diversifying their academic communities by confronting and counteracting bias.
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