International Business Seminar Series: Accuracy-Versus-Fairness Tradeoffs in Algorithm-Based Personnel Selection
In the current session of the International Business Seminar Series, Ulrich Leicht-Deobald takes a fascinating look at innovations in Human Resources: Algorithms are increasingly determining companies' personnel selection. But is the process always fair?
Organizations are increasingly using algorithms to improve the accuracy of hiring decisions. However, these algorithms can disadvantage certain protected demographic groups, such as those based on gender, age, or ethnicity. While there are methods to make outcomes fairer between these groups, doing so often reduces the accuracy of the algorithms.
The study presented by Prof. Leicht-Deobald as part of the International Business Seminar Series examines when people are willing to accept lower accuracy for more fairness, using Reference Cognition Theory (RCT) as a basis. Four experiments (with MTurkers, managers, and students) explored factors influencing the tradeoff between accuracy and fairness, particularly focusing on gender-based disparities.
Date
Start date: 21 November 2024, 12.30 pm
Location
ZHAW School of Management and Law, Building SW, Room 124 and online
Organizer
ZHAW International Management Institute
Theaterstrasse 17
8401
Winterthur
+41 58 934 46 26
info.imi@zhaw.ch
ZHAW International Management Institute