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#57 - Prof. Melanie Mitchell - Why AI is harder than we think
Machine Learning Street Talk (MLST)
The Challenge of Statistical Shortcuts and Generalization in Machine Learning
Statistical shortcuts are unavoidable in machine learning. While humans rely on few-shot learning, machines need large amounts of examples. This can lead to shortcuts and a lack of understanding. A solution is to use abstraction and reasoning tasks to encourage concept learning. Another problem is that accuracy measurements can be misleading if there are shortcuts present. It is important to consider the statistical makeup of the evaluation test set.
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