BETWEEN FORMAL AUTHORITY AND AUTHORITY OF COMPETENCE – THE MECHANISMS OF ALGORITHMIC CONFORMITY

Yotam Liel, Lior Zalmanson

Research output: Contribution to journalConference articlepeer-review

Abstract

This study investigates the phenomenon of “algorithmic conformity” in AI-human collaborations, where individuals often adhere to flawed algorithmic recommendations. We propose two mechanisms influencing this conformity: the perceived superior capabilities of algorithms ("authority of competence") and the belief in algorithms’ formal authority within the organizational environment. Through a series of studies with 1,134 participants, our experiments demonstrate that both perceived competence and formal authority drive algorithmic compliance. Additionally, explicitly acknowledging AI's formal authority intensifies algorithmic conformity, and this inclination persists even in task domains perceived as less suitable for AI.

Original languageEnglish
JournalAcademy of Management Annual Meeting Proceedings
Volume2024
Issue number1
DOIs
StatePublished - 2024
Event84th Annual Meeting of the Academy of Management, AOM 2024 - Chicago, United States
Duration: 9 Aug 202413 Aug 2024

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