🎙️ AI in Healthcare: Ethics, Regulation & Patient Safety

As Artificial Intelligence becomes central to clinical practice, critical questions of ethics, fairness, and safety come to the forefront. In this episode, we unpack the challenges of building responsible AI in healthcare and explore how policymakers, clinicians, and technologists can work together to ensure patient trust.

We cover:

• ​Bias & Fairness – Why diverse datasets and continuous auditing are key to preventing healthcare disparities.
• ​Explainability – The need for interpretable AI models clinicians can trust and validate.
• ​Data Privacy & Security – Safeguards for protecting sensitive health data across institutions.
• ​Regulatory Frameworks – How adaptive approval pathways like regulatory sandboxes balance safety with innovation.
• ​The Impact – Responsible AI requires collaboration across medicine, technology, ethics, and policy.

This episode is a must-listen for healthcare leaders, AI developers, and anyone interested in the safe and ethical future of AI in medicine.

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