Medical AI, privacy, and keeping your data safe from GPT-5

In today's episode of the Innovating with AI Insights private podcast, I'm digging into AI data privacy, both in the context of medical data (e.g. for a physician writing reports with the help of AI) and ensuring that your proprietary data (medical or not) doesn't end up being used for training of future models.

Here's a quick outline of what we'll touch on today:

• The Dual Challenge of Data Privacy: The twin concerns of safeguarding privacy when inputting data into AI tools and preventing the use of such data in training future AI models.
• An Exploration of Medical AI and Privacy: The intersection of medical AI and privacy regulations.
• Navigating Compliance and Data Protection: Understanding compliance with privacy regulations such as HIPAA (Health Information Portability and Accountability Act) and GDPR (General Data Protection Regulation). A primer on these laws, their implications for AI projects, and practical strategies for compliance.
• Tools for Privacy-Compliant AI Applications: Cutting-edge tools and practices for ensuring privacy in AI applications, including HIPAA-compliant online forms, the Keragon platform for secure data automation, and Private AI's de-identification technology.

If you haven't already, start your free trial of Innovating with AI Insights to get the full podcast episode and human-written transcript.