Authors: M Zhuang, E Deschrijver, R Ramsey, O Turel
Year: 2025
Published in: Scientific Reports, 2025 - nature.com
Institution: Monash University, The University of Melbourne, KU Leuven, California State University Fullerton
Research Area: Human-AI Interaction, Social Bias, Decision-Making
Discipline: Social Science, Human-AI Interaction
The study found that humans exhibit similar discriminatory behavior toward both AI and human agents, with resource allocation being influenced more by decision alignment than the recipient's identity.
Methods: A preregistered experiment was conducted where participants distributed resources between themselves and either human or AI agents based on dot estimation decisions.
Key Findings: Discriminatory behavior and resource allocation preferences toward AI and human agents as influenced by decision congruency.
DOI: https://doi.org/10.1038/s41598-025-94631-9
Sample Size: 500