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How well do explanation methods for machine-learning models work?

Feature-attribution methods are used to determine if a neural network is working correctly when completing a task like image classification. MIT researchers developed a way to evaluate whether these feature-attribution methods are correctly identifying the features of an image that are important to a neural networkโ€™s prediction.
Yilun Zhou Julie Shah Marco Tulio Ribeiro Microsoft Research Artificial Intelligence Laboratory Interactive Robotics Group
Source: mit.edu

New coalition aims to accelerate responsible AI innovation to transform healthcare

The Artificial Intelligence Industry Innovation Coalition (AI3C) leverages the collective brainpower, experience and expertise of the Brookings Institution, Cleveland Clinic, Duke Health, Intermountain Healthcare, Microsoft, Novant Health, Plug and Play, Providence, UC San Diego andย University of Virginia.
Ashley Llorens Shamyla Lando Duke Health Microsoft Research Brookings Institution Novant Health

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