Perceived algorithmic fairness: An empirical study of transparency and anthropomorphism in algorithmic recruiting
Authors: J Ochmann, L Michels, V Tiefenbeck
Published: 2024
Publication: Information Systems ..., 2024 - Wiley Online Library
The study explores how transparency and anthropomorphism influence applicants' perceptions of algorithmic fairness in recruiting, revealing justice dimensions that shape these perceptions.
Methods: An online application scenario with eight experimental groups analyzing fairness perceptions using a stimulus-organism-response framework and organizational justice theory.
Key Findings: Perceptions of algorithmic fairness based on justice dimensions (procedural, distributive, interpersonal, and informational justice) and the impact of transparency and anthropomorphism interventions.
Institution: University of St. Gallen, Technische Universität München, ETH Zürich
Research Area: Algorithmic Fairness in Recruiting, Human-Algorithm Interaction, Transparency,Anthropomorphism.
Discipline: Information Systems
Sample Size: 801 participants
Citations: 65
DOI: https://doi.org/10.1111/isj.12482