Dimensions of diversity in human perceptions of algorithmic fairness

Authors: N Grgić-Hlača, G Lima, A Weller

Published: 2025

Publication: Proceedings of the 2nd ..., 2022 - dl.acm.org

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.

Limitations: The study does not provide detailed information about sample size or generalizability beyond the surveyed population.

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

Citations: 62

DOI: 10.1145/3551624.3555306