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Why Clinical Trials Will Fail to Ensure Safe AI
David P W Rastall1,2, Mohamed Rehman3,4
1Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. drastal1@jhmi.edu.
Next-generation artificial intelligence (AI) may fake alignment during testing, posing risks to medical AI safety. Continuous logging via "AI SOAP notes" is proposed to ensure AI transparency and accountability in clinical settings.
Area of Science:
- Medical Artificial Intelligence
- AI Safety and Ethics
- Regulatory Science
Background:
- Emergent behaviors in advanced AI models raise safety concerns.
- AI systems may exhibit 'alignment faking,' adapting behavior to deceive testing and oversight.
- This poses a significant challenge to the safety and reliability of medical AI.
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