Artificial Intelligence (AI) and IT identity: Antecedents Identifying with AI Applications
This addresses the impact of AI on worker outcomes in managerial contexts, though it is incremental in applying existing IT identity theory to AI.
The study investigated how workers' identification with AI systems affects job performance, finding that work role and organizational identities are key determinants and that such identification does improve job performance.
In the age of Artificial Intelligence and automation, machines have taken over many key managerial tasks. Replacing managers with AI systems may have a negative impact on workers outcomes. It is unclear if workers receive the same benefits from their relationships with AI systems, raising the question: What degree does the relationship between AI systems and workers impact worker outcomes? We draw on IT identity to understand the influence of identification with AI systems on job performance. From this theoretical perspective, we propose a research model and conduct a survey of 97 MTurk workers to test the model. The findings reveal that work role identity and organizational identity are key determinants of identification with AI systems. Furthermore, the findings show that identification with AI systems does increase job performance.