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Interpretable Machine Learning by Composing Queries
Unmet NeedArtificial intelligence (AI), with its ability to computationally carry out many complex tasks quickly, has the potential to revolutionize many fields. However, its real-world use is currently limited by its lack ofinterpretability: it is difficult to understand how AI models generate their outputs. This is especially important in risk-averse...
Published: 6/28/2024
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Inventor(s):
Rene Vidal
,
Aditya Chattopadhyay
,
Donald Geman
,
Benjamin Haeffele
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