Predictive analytics ethics refers to the moral principles and considerations that guide the use of predictive analytics, particularly when it comes to personal data and decision-making in areas like healthcare. It emphasizes the need to balance the benefits of accurate predictions with potential harms, such as privacy violations, bias, and discrimination. This ethical framework is critical in contexts like personalized medicine, where data-driven insights can lead to tailored treatment plans but also raise concerns about consent and fairness.
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