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* [WIRED Magazine](https://www.wired.com/story/foundations-ai-riddled-errors/)
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* [Engadget](https://www.engadget.com/mit-datasets-ai-machine-learning-label-errors-040042574.html)
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* [MIT CSAIL News](https://www.csail.mit.edu/news/major-ml-datasets-have-tens-thousands-errors)
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* [VentureBeat](https://venturebeat.com/2021/03/28/mit-study-finds-systematic-labeling-errors-in-popular-ai-benchmark-datasets/)
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* [Tech Xplore](https://techxplore.com/news/2021-03-major-machine-datasets-tens-thousands.html)
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* [News18](https://www.news18.com/news/tech/ai-is-getting-a-few-things-wrong-because-humans-may-have-incorrectly-labeled-a-bunch-of-images-3587147.html)
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* [Healthcare IT News](https://www.healthcareitnews.com/news/label-errors-abound-most-common-ai-test-sets)

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