A conversation about implicit bias
| Autor: | Amanda L. Golbeck, Arlene S. Ash, Mary W. Gray, Judith D. Singer, Yulia R. Gel, Marcia L. Gumpertz, Jon R. Kettenring, Nicholas P. Jewell |
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| Rok vydání: | 2016 |
| Předmět: |
Economics and Econometrics
business.industry media_common.quotation_subject 05 social sciences Public relations Human capital 050105 experimental psychology Management Information Systems Leadership studies Need to know Perception 0502 economics and business Selection (linguistics) 0501 psychology and cognitive sciences Conversation 050207 economics Statistics Probability and Uncertainty Implicit bias Psychology business Criminal justice media_common |
| Zdroj: | Statistical Journal of the IAOS. 32:739-755 |
| ISSN: | 1875-9254 1874-7655 |
| Popis: | Explicit bias reflects our perceptions at a conscious level. In contrast, implicit bias is unintentional and operates at a level below our conscious awareness. Implicit stereotypes shaping implicit biases are widely studied in criminal justice, medicine, CEO selection at Fortune 500 companies, etc. However, the problem of unconscious bias remains. E.g., while women constitute an increasing proportion of all STEM undergraduates, they still make up only a small proportion of faculty members at research universities, and they are substantially under-represented in organizational leadership and as recipients of professional awards and prizes. Can we afford to have unintentional perceptions continue to hinder the success and advancement of women and other underrepresented groups? Can we afford to continue to underuse human capital in science? This session at the 2015 Joint Statistical Meetings (JSM) aimed to illuminate what statisticians need to know and do to break the glass ceiling of implicit bias. |
| Databáze: | OpenAIRE |
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