While artificial intelligence (AI) and machine learning tools are now commonly used to enhance technological applications, the underpinnings of many of these tools are hard to decipher. This is because most of them are based on 'black box' models, models that analyze data and learn to make predictions about it but that do not share the processes behind these predictions with human users.
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A new framework to design explainable AI for augmented reality applications
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