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| Name | Mitigating the Impact of Bias on Selection Algorithms | Swati Gupta |
| Video Uploader | Video From HBS Digital Initiative |
| Upload Date | This Video Uploaded At 22-06-2021 00:32:01 |
| Video Discription | The introduction of automation into the hiring process has put a spotlight on a persistent problem: discrimination in hiring on the basis of protected-class status. Left unchecked, algorithmic applicant-screening can exacerbate pre-existing societal inequalities and even introduce new sources of bias; if designed with bias-mitigation in mind, however, automated methods have the potential to produce fairer decisions than non-automated methods. In this talk, Swati Gupta from Georgia Institute of Technology focuses on selection algorithms used in the hiring process (e.g., resume-filtering algorithms) given access to a "biased evaluation metric". She assumes that the method for numerically scoring applications is inaccurate in a way that adversely impacts certain demographic groups. This talk was presented at the Harvard Business School Crossing Disciplines: Studying Fairness, Bias, and Inequality in Management and Decision Sciences Research workshop on May 21, 2021. For more on the Digital Initiative, check out https://digital.hbs.edu. MdfWzhF_GZI |
| Category | Science & Technology |
| Tags | Science & Technology Download MP4 | Science & Technology Download MP3 | Science & Technology Download MP4 360p | Science & Technology Download MP4 480p | Science & Technology Download MP4 720p | Science & Technology Download MP4 1080p |
