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According to MIT Technology Review, many AI datasets have label errors in them, which is causing a distortion in how the field is actually progressing.
The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it’s distorting our understanding of the field’s progress.
Read the article on MIT Technology Review