Explainable AI explained

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false negative predictions. That’s sometimes acceptable, but matters a lot when the stakes are high. For example, a drone weapons system that falsely identifies a school as a terrorist base could inadvertently kill innocent children and teachers unless a human operator overrides the decision to attack.

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