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Abstract:
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Implicit bias refers to the attitudes or stereotypes that shape our actions and decisions in an unconscious manner. Numerous studies have found effects of implicit bias in criminal justice, medicine, and the workplace. While immense progress has been made to diversify the statistics community and higher-level representation over the past several decades (particularly with regard to gender), progress has come primarily through deliberate action. One reason for this is implicit bias - one's unintentional characterizations of leaders and experts often hinder the advancement of women and minorities. While the ASA supports diversity and inclusion, the question remains: what more can we do as a profession? This session will discuss the impact of implicit bias in the workplace, on our profession, the progress that has been made, and the work that remains to be done. The assembled panelists are committed to illuminating the effects of implicit bias (with regard to race/ethnicity, gender, etc.) and increasing diversity in Statistics. One way to fight implicit bias is to educate and discuss this matter as a community.
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