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#57 - Prof. Melanie Mitchell - Why AI is harder than we think
Machine Learning Street Talk (MLST)
The Rise of Deep Learning Systems
The 19 nineties and two thousands saw the metioric rise of machine learning. These approaches were typically inspired by statistics rather than neero science or psychology. This led to an unrelenting mailstrum of hype and optimistic future predictions. However, as meloniy points out, it didn't take long for cracks to appear in the deep learning fasad of intelligence. It turns out that like all a i systems of the past, deep learning systems also suffer from britlness, unpredictable errors when facing situations that differ from the training daa. The sources of their britleness and vonerability are still not completely understood.
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