Sign up to save your podcasts
Or
Share AI in Healthcare: Navigating the Myths, Biases, and Regulation
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
AI in Healthcare: Navigating the Myths, Biases, and Regulation
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
www.facesofdigitalhealth.com
Newsletter: https://fodh.substack.com/
Youtube: https://youtu.be/jW_p-w39wD8?si=Q34VZdDJPsmzOg44
View all episodes
By Tjasa Zajc
5
2020 ratings
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
www.facesofdigitalhealth.com
Newsletter: https://fodh.substack.com/
Youtube: https://youtu.be/jW_p-w39wD8?si=Q34VZdDJPsmzOg44
More shows like Faces of Digital Health
View all
Stuff You Should Know
78,475 Listeners
Freakonomics Radio
32,061 Listeners
Planet Money
30,756 Listeners
Hidden Brain
43,653 Listeners
NEJM Interviews
126 Listeners
The Daily
111,929 Listeners
Primary Care Knowledge Boost
47 Listeners
Bright Spots in Healthcare
56 Listeners
A Health Podyssey
44 Listeners
Huberman Lab
29,172 Listeners
The Heart of Healthcare | A Digital Health Podcast
167 Listeners
Ground Truths
50 Listeners