Self-driving cars are still prone to making mistakes, in part because the AI training can only account for so many situations. Microsoft and MIT might just fill in those gaps in knowledge — they’ve developed a model that can catch these virtual “blind spots,” as MIT describes them. The approach has the AI compare a human’s actions in a given situation to what it would have done, and alters its behavior based on how closely it matches the response. If an autonomous car doesn’t know how to pull over when an ambulance is racing down the road, it could learn by watching a flesh-and-bone driver moving to the side of the road.
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