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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in ...
Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...
A new study suggests AI systems could be a lot more efficient. Researchers were able to shrink an AI vision model to 1/1000th ...
The profession needs to engage seriously with whether the binary audit opinion remains the right product for the public interest it is meant to serve.
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