Authors: N Grgić-Hlača, G Lima, A Weller
Year: 2025
Published in: Proceedings of the 2nd ..., 2022 - dl.acm.org
Institution: Max Planck Institute, École Polytechnique Fédérale de Lausanne, University of Cambridge, The Alan Turing Institute
Research Area: Algorithmic Fairness, Human Perception, Diversity in AI Decision-Making
Discipline: Social Science, Artificial Intelligence
This study examines how sociodemographic factors and personal experience influence perceptions of fairness in algorithmic decision-making, particularly in bail decisions, highlighting the importance of diverse perspectives in regulatory oversight.
Methods: Explored perceptions of procedural fairness using surveys to assess the influence of demographics and personal experiences.
Key Findings: Impact of demographics (age, education, gender, race, political views) and personal experience on perceptions of fairness of algorithmic feature use in bail decisions.
DOI: 10.1145/3551624.3555306
Citations: 62