AI and Healthcare Ethics and AI in Healthcare: A Hard Look Inside - with Dr. Colleen Lyons [FULL PODCAST]
Jun 5, 2025
Dr. Colleen Lyons, a clinical research ethicist with FDA experience, delves into the ethical evolution needed for AI in healthcare. She tackles critical topics like data bias, autonomy, and the responsibilities of organizations. Dr. Lyons emphasizes patient rights and the ethical complexities of AI integration in diagnostics. She also compares AI regulation to past tech innovations, advocating for a balance between oversight and creativity. Highlighting the importance of values in healthcare leadership, she calls for thoughtful implementation of technology to maintain ethical standards.
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Belmont Report's Relevance to AI
- The Belmont Report's principles of autonomy, beneficence, and justice remain critical ethical pillars in AI healthcare.
- These principles address informed consent, minimizing harm, and protecting vulnerable populations amid AI's growing influence.
Son's Recovery Demonstrates Medical Uncertainty
- Colleen shared a personal story about her son's unexpected recovery despite dire prognosis, highlighting medical uncertainties.
- This illustrates why transparency about AI's 'black box' limitations enhances trust rather than requires full explainability.
Data Bias Threatens AI Equity
- AI training data is often biased due to skewed research subject demographics, leading to inequities in diagnosis and treatment.
- Correcting these biases offers an opportunity to improve equity in clinical research and healthcare delivery.