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Why deep-learning AIs are so easy to fool
Artificial-intelligence researchers are trying to fix the flaws of neural networks.
Heaven, Douglas http://www.nature.com/articles/d41586-019-03013-5
Publisher: Nature
Date Written: 09/10/2019
Year Published: 2019
Resource Type: Article
These problems are more concerning than idiosyncratic quirks in a not-quite-perfect technology, says Dan Hendrycks, a PhD student in computer science at the University of California, Berkeley. Like many scientists, he has come to see them as the most striking illustration that DNNs are fundamentally brittle: brilliant at what they do until, taken into unfamiliar territory, they break in unpredictable ways.
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