Delete search term

Header

Main navigation

School of Management and Law

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