Who Owns Healthcare Data? AI Privacy and Ethics With: Jason Alan Snyder
In this full interview, Jason Alan Snyder, Futurologist, Inventor, and Technologist, explores the urgent issues of AI in healthcare data, from privacy and ethics to ownership and monetization. Snyder highlights how digital twins—virtual representations of individuals built from lab results, biometrics, genomes, and behaviors—are being used without consent or compensation. He warns of the dangers of poor data quality, decay, and fragmentation, which lead to flawed AI-driven medical decisions. Snyder envisions a future where individuals own and control their health data, benefiting from AI’s potential while avoiding exploitation. The conversation offers a roadmap for building ethical, transparent, and patient-centered AI systems in healthcare.
Episode Contents:
About the Guest
Jason Alan Snyder is a Futurologist, Inventor, and Technologist focused on the intersection of AI, healthcare, and ethics.
Key Takeaways
- AI healthcare data must be owned by the individual
- Poor data quality and decay can harm patient outcomes
- Ethical AI requires transparency and true consent
Transcript Summary
Q: What is the main concern with AI healthcare data today?
A: Digital twins built from patient data are often used without consent, leading to ethical and privacy risks.
Q: What is data decay in healthcare?
A: The slow breakdown of data accuracy, relevance, and usefulness over time, causing flawed AI outputs.
Q: How can this be solved?
A: By giving individuals ownership, control, and the ability to monetize their data, while ensuring transparency and quality.
Q: What is the utopia vs. dystopia scenario?
A: Utopia: ethical AI with personal data control. Dystopia: AI exploitation without consent.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
Keep Exploring
About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.