Who Gets to be an Expert? The Hidden Bias in Expert Finding

Seyedehfatemeh Karimi, Havva Alizadeh Noughabi, Fattane Zarrinkalam, Morteza Zihayat
January 2025

Abstract

This paper investigates hidden biases in expert finding systems, examining how different factors influence who gets identified as an expert and proposing methods to mitigate these biases.

Type
Conference paper
Publication
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region

This work examines biases in expert finding algorithms and proposes fairness-aware solutions.

Expert Finding Bias Mitigation Fairness Information Retrieval
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.