Continued advances in artificial intelligence and machine learning promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by these machines’ current inability to explain their decisions and actions to human users. Explainable AI—especially explainable machine learning—will be essential if future users are to understand, appropriately trust, and effectively manage an emerging generation of artificially intelligent machine partners.
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