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11min chapter
Using edge models to find sensitive data
Practical AI: Machine Learning, Data Science, LLM
Protecting Sensitive Data with AI in Healthcare
This chapter explores the difficulties in safeguarding personal health information (PHI) using AI models, focusing on overcoming false positives and unknown false negatives. It emphasizes the need for accurate risk assessment and vulnerability detection, along with challenges in data labeling, model training, and optimizing AI models for healthcare environments.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode