July 02, 2025

AI in Healthcare: Navigating the Myths, Biases, and Regulation

41 minutes

Jessica Morley, postdoctoral researcher at the Yale Digital Ethics Center joins Faces of Digital Health to discuss the overlooked aspects of AI, including biases, ethical issues, and common misconceptions. AI is not new, magical, or truly intelligent; its roots in healthcare trace back 30 years. While AI is often seen as infallible, it is merely statistical prediction and lacks semantic understanding, which excludes it from genuinely grasping human concepts like pain. Jessica remains skeptically optimistic about AI, noting its potential in scientific advancements and operational efficiency but doubting its transformative impact on diagnostics and patient care. The conversation also highlights the regulatory landscapes in Europe, the UK, and the US, each with varying approaches to AI regulation.

Jessica emphasizes the unavoidable nature of bias in AI, advocating for more thoughtful adoption and regulation to ensure AI benefits everyone without deepening biases or relying excessively on surveillance. The discussion concludes with insights into ongoing research aimed at shifting focus from individual health optimization to maximizing population health.

00:00 Introduction to Digital Health and AI

02:21 Debunking Myths About AI

06:13 The Potential and Limitations of AI in Healthcare

11:10 Global Regulatory Landscape for AI in Healthcare

19:36 The Impact of AI on Personalized Medicine

34:41 Addressing Bias and Ethical Concerns in AI

38:39 Future Research and Conclusion

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