AI Hallucinations, Bias, and Clinical Risk: What Every Provider Should Know
The integration of artificial intelligence (AI) into clinical workflows is transforming modern medicine. From automated charting to predictive diagnostics, AI tools promise to reduce clinician burnout and optimize patient outcomes. However, as these technologies transition from theoretical tools to active participants in care, they bring novel, systemic vulnerabilities.
For healthcare providers, relying blindly on algorithmic outputs poses a significant threat to patient safety. To practice safely in an AI-augmented environment, clinicians must understand the core risks of machine learning: hallucinations, algorithmic bias, and systemic clinical risk.
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