Automation Bias
Cross-source consensus on Automation Bias from 1 sources and 4 claims.
1 sources · 4 claims
Preparation
Risks & contraindications
Comparisons
Highlighted claims
- Trainees may accept AI outputs too readily when they lack sufficient expertise to detect errors or uncertainty. — AI-induced never-skilling in medical education
- Automation bias is a core issue for both clinical safety and medical education. — AI-induced never-skilling in medical education
- Human-AI collaboration is presented as condition-dependent rather than uniformly beneficial or harmful. — AI-induced never-skilling in medical education
- Clinicians need explicit rules for relying on, verifying, overriding, and remaining independently capable when using clinical AI. — AI-induced never-skilling in medical education