diagnosis
He describes the black-box nature of deep networks as making model behavior difficult to explain and vulnerable to spurious correlations that fail outside narrow training conditions.
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Deep Learning
He describes the black-box nature of deep networks as making model behavior difficult to explain and vulnerable to spurious correlations that fail outside narrow training conditions.
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Timestamped Evidence
Transcript
"...hold in an oddly specific patterns or are completely incorrect. A deep learning model might recognize pedestrians only by the crosswalks underneath them and..."
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"They cannot explain exactly how they're learning, or how the model will behave, especially in strange edge case scenarios, because the patterns that the..."
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"The idea of the black box is that weighted system, the neural network. Humans don't actually know what's going on in there, because it's..."
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"...back propagation I don't call it back propagation I call it deep learning you see and I don't call it supervised machine learning I..."
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"...a pedestrian fatality. Fatility. A fatality. Investigation found that the car's deep learning model simply didn't register Hasburgs as a person. Experts concluded that..."
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"...I'm going to engage in the process of deep reflection and deep learning, deep reading this summer so that in September, in the fall,..."
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Relevant Lectures And Readings
Reading
The lecture starts by warning against overconfident certainty, then rewires from literary method to a hard model of AI: today’s systems are pattern-fitters optimized for compliance, so power becomes control over what counts as...
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