Much has been written about the challenges associated with AI-based decisions. Some documented failures include gender and race biases in recruiting and credit approval software; chatbots that turned racist, and driverless cars that fail to recognize stop signs due to adversarial attacks; inaccuracies in predictive models for public health surveillance; and diminished trust because of the difficulty we have interpreting certain machine-learning models.

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