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Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence

When AI Models Are Trained on Your Medical Data

Lucas and Luna explore the ethics of training AI on health records without explicit patient consent. They dive into the case of a major research hospital that gave a tech company access to millions of patient notes to train a diagnostic model, only to face a class-action lawsuit. The episode breaks down the trade-off between medical innovation and patient privacy, explaining concepts like de-identification, the HIPAA privacy rule, and the legal gray area of 'secondary use' of data. Listeners learn why current consent frameworks are failing, what the proposed Health Data Rights Act might…

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