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Get Badass about Bias in AI 

  1. Banaji, M. R., Caruso, E. M. & Rahnev, D. A. (2009). Using Conjoint Analysis to Detect Discrimination: Revealing Covert Preferences from Overt Choices.

  2. Brooks, A. W., Huang, L., Kearney, S. W., & Murray, F. E. (2014). Investors Prefer Entrepreneurial Ventures Pitched by Attractive Men.

  3. Bongiorno, R., Haslam, A. S., Hersby, M. D., & Ryan, M. K. (2011). Think Crisis–Think Female: The Glass Cliff and Contextual Variation in the Think Manager–Think Male Stereotype.

  4. Brescoll, V. L., Dovidio, J. F., Graham, M. J., Handelsman, M. J. & Moss-Racusin C. A. (2012). Science Faculty’s Subtle Gender Biases Favor Male Students.

  5. Hebl, M. R., Foster, J. B., Mannix, L. M., & Dovidio, J. F. (2002). Formal and Interpersonal Discrimination: A Field Study of Bias Toward Homosexual Applicants.

  6. Jones, K. P., Peddie, C. I., Gilrane, V. L., King, E. B., & Gray, A. L. (2013). Not So Subtle: A Meta-Analytic Investigation of the Correlates of Subtle and Overt Discrimination.

  7. Martell, R. F., Lane, D. M., & Emrich, C., (1996). Male-Female Differences: a Computer Simulation.

  8. Murphy, M. C., Steele, C. M., & Gross, J. J. (2007). Signaling Threat: How Situational Cues Affect Women in Math, Science & Engineering Settings.

  9. Rudman, L. A., Ashmore, R. D., & Gary, M. L. (2001). “Unlearning” Automatic Biases: The Malleability of Implicit Prejudice and Stereotypes.

  10. Welle, B., & Heilman, M. E. (2007). Formal and Informal Discrimination against Women at Work: The Role of Gender Stereotypes

 

 

  1. Banaji, M. R., Caruso, E. M. & Rahnev, D. A. (2009). Using Conjoint Analysis to Detect Discrimination: Revealing Covert Preferences from Overt Choices.

  2. Brooks, A. W., Huang, L., Kearney, S. W., & Murray, F. E. (2014). Investors Prefer Entrepreneurial Ventures Pitched by Attractive Men.

  3. Bongiorno, R., Haslam, A. S., Hersby, M. D., & Ryan, M. K. (2011). Think Crisis–Think Female: The Glass Cliff and Contextual Variation in the Think Manager–Think Male Stereotype.

  4. Brescoll, V. L., Dovidio, J. F., Graham, M. J., Handelsman, M. J. & Moss-Racusin C. A. (2012). Science Faculty’s Subtle Gender Biases Favor Male Students.

  5. Hebl, M. R., Foster, J. B., Mannix, L. M., & Dovidio, J. F. (2002). Formal and Interpersonal Discrimination: A Field Study of Bias Toward Homosexual Applicants.

  6. Jones, K. P., Peddie, C. I., Gilrane, V. L., King, E. B., & Gray, A. L. (2013). Not So Subtle: A Meta-Analytic Investigation of the Correlates of Subtle and Overt Discrimination.

  7. Martell, R. F., Lane, D. M., & Emrich, C., (1996). Male-Female Differences: a Computer Simulation.

  8. Murphy, M. C., Steele, C. M., & Gross, J. J. (2007). Signaling Threat: How Situational Cues Affect Women in Math, Science & Engineering Settings.

  9. Rudman, L. A., Ashmore, R. D., & Gary, M. L. (2001). “Unlearning” Automatic Biases: The Malleability of Implicit Prejudice and Stereotypes.

  10. Welle, B., & Heilman, M. E. (2007). Formal and Informal Discrimination against Women at Work: The Role of Gender Stereotypes