Algorithmic Bias and STEM Careers

Companies in STEM fields are creating gender-neutral job advertisements to cultivate diverse applicant pools…but it doesn’t seem to be working. Is it enough to create an advertisement and send it off into the world, or should companies be more thoughtful in how and where they place it? Lambrecht and Tucker examine how commonplace advertising techniques may be inadvertently biasing applicant pools for coveted – and overwhelmingly male – STEM jobs.

Please join the Technology Policy Institute as Dr. Catherine Tucker presents her paper “Algorithmic Bias? An Empirical Study into Apparent Gender-Based Discrimination in the Display of STEM Career Ads.” Dr. Tucker is the Sloan Distinguished Professor of Management Science and Professor of Marketing at the Massachusetts Institute of Technology. Dr. Tucker’s presentation from the event is located here.

Dr. Margrét Bjarnadóttir will offer comments afterwards. Dr. Bjarnadóttir is a Professor of Management Science and Statistics Decision in the Operations and Information Technologies Department at UMD’s Robert H. Smith School of Business. She also co-founded PayAnalytics, which promotes pay equity using data driven algorithms. *Dr. Bjarnadóttir was unable to attend, you may find Dr. Wallstens presentation from the event here.

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