Fairness and Discrimination Mitigation in Rankings

Meike Zehlike (Ph.D. Student)

My research interests center around artificial intelligence and its social impact, algorithmic discrimination, fairness and algorithmic exploitation. In my PhD thesis, I develop methods to detect and mitigate discriminatory patterns that make their way into ranking models. Such biased models usually lead to disparities in exposure across different social groups and therefore disadvantage those, who are systematically ranked to lower positions. My methods are designed to debias rankings and therefore ensure equal exposure across groups.

Primary Host:	Krishna P. Gummadi (Max Planck Institute for Software Systems)
Exchange Host:	Carlos Castillo (Universitat Pompeu Fabra)
PhD Duration:	01 April 2016 - 30 April 2021
Exchange Duration:	01 February 2018 - 31 May 2018 - Ongoing