Understanding Perception of Algorithmic Decisions: Fairness, Trust, and Emotion in Response to Algorithmic Management

Abstract

Studies how workers perceive algorithmic management compared to human management. Workers view algorithms as more fair for mechanical tasks but less fair for tasks requiring human judgment, revealing domain-specific trust boundaries.

Key Findings

• Algorithms are perceived as fairer for routine, quantifiable decisions
• Human managers are preferred for nuanced, subjective evaluations
• Emotional responses to algorithmic decisions are moderated by perceived task type

Source