Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases

Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri
January 2022

Abstract

This paper presents bias-aware fair neural ranking approaches for addressing stereotypical gender biases in information retrieval systems.

Type
Conference paper
Publication
International Conference on Extending Database Technology (EDBT)

This work introduces bias-aware approaches for fair neural ranking systems.

Bias Mitigation Fair Ranking Neural Ranking Gender Bias Information Retrieval
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.