Midi de la recherche SIO avec Maryam Ghasemaghaei

À propos de
l'événement

Le Département de systèmes d’information organisationnels vous invite à une présentation de la professeure Maryam Ghasemaghaei sur sa recherche Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance. La conférence, qui se tiendra en ligne, sera diffusée dans la salle PAP 4221 où nous vous invitons à la visionner ensemble autour d’un dîner.

La conférence se déroulera en anglais.

Résumé

Algorithms used in data analytics (DA) tools, particularly in high-stakes contexts such as hiring and promotion, may yield unfair recommendations that deviate from merit-based standards and adversely affect individuals. While significant research from fields such as machine learning and human–computer interaction (HCI) has advanced our understanding of algorithmic fairness, less is known about how managers in organizational contexts perceive and respond to unfair algorithmic recommendations, particularly in terms of individual-level fairness. This study focuses on job promotions to uncover how algorithmic unfairness impacts managers’ perceived fairness and their subsequent acceptance of DA recommendations. Through an experimental study, we find that (1) algorithmic unfairness (against women) in promotion recommendations reduces managers’ perceived fairness, influencing their acceptance of these recommendations; (2) managers’ trust in DA competency moderates the relationship between perceived fairness and DA recommendation acceptance; and (3) managers’ moral identity moderates the impact of algorithmic unfairness on perceived fairness. These insights contribute to the existing literature by elucidating how perceived fairness plays a critical role in managers’ acceptance of unfair algorithmic outputs in job promotion contexts, highlighting the importance of trust and moral identity in these processes.