Evaluating AI-Induced Anxiety and Technical Blindness in Healthcare Professionals

The widespread implementation of artificial intelligence (AI) in various industries, including healthcare, provides significant benefits but raises concerns. Notably, apprehensions about AI generating issues, experiencing malfunctions, and hindering work extend to fears of replacing medical professional positions. This research aims to quantitatively assess the impact of anxiety forms, specifically social, technical blindness and AI configuration, on job replacement anxiety among medical doctors. A pre-test approach was employed to gather data from 38 doctors in Jakarta who regularly interact with AI in their daily work. The study used PLS-SEM structural modelling with SmartPLS 3.0 as the analysis tool. Findings indicate that both social and technical blindness and AI configuration significantly influence job replacement anxiety. Additionally, the study reveals that elements within the AI configuration interact with social-technical blindness, and the AI setup effectively mitigates its impact on job replacement anxiety. These anxieties notably affect medical professionals’ fears of being replaced in their current roles. Previous research shows that anxiety about AI among healthcare personnel is persistent. However, this worry can be reduced or eliminated through continuous awareness, education, and understanding of AI’s purpose and limitations. This study aims to provide medical practitioners with a comprehensive understanding of AI constraints and the aspects requiring direct doctor involvement.