AI in the Workplace: How Managerial Perceptions of AI Shape Expectations and the Performance Evaluation Process
Year: 2025
Type: dissertation
Abstract: This study investigates how an employee’s use of artificial intelligence (AI) impacts managers' subjective performance evaluations, particularly focusing on how managers' perceptions of AI influence their performance expectations and subsequent evaluations of their employees. Using an experiment manipulating AI reliability perceptions (high vs. low) and performance outcomes (success vs. failure), I predict and find that managers expect higher performance from employees using AI perceived as reliable. Further, consistent with my prediction, I find greater discrepancies between managers' expectations and evaluations when an employee uses unreliable AI and exhibits successful performance. Additionally, successful performance is more often attributed to the employee when AI is seen as unreliable, whereas no significant attributional differences were found for unsuccessful performance. These findings highlight the importance of managers' perceptions of AI in shaping managerial expectations and evaluations.
DOI: 10.57709/h6m5-7c42
Author: Kaitlin Hudspeth
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6917256809
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