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Explained: How to tell if artificial intelligence is working the way we want it to

Deep-learning models have become very powerful, but that has come at the expense of transparency. As these models are used more widely, a new area of research has risen that focuses on creating and testing explanation methods that may shed some light on the inner-workings of these black-box models. ....

Yilun Zhou , Marzyeh Ghassemi , Artificial Intelligence Laboratory , Healthy Ml Group , Interactive Robotics Group Of The Computer Science , Interactive Robotics Group , Computer Science , Marzyeh Ghassemi , Explainable Ai , Deep Learning , Black Box Models , Eature Attribution Methods , Explainable Artificial Intelligence ,

Knoxville 2020 - Program | National Association of Teachers of Singing

Knoxville 2020 - Program | National Association of Teachers of Singing
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