MIT pulls massive AI dataset over racist, misogynistic content

MIT pulls massive AI dataset over racist, misogynistic content

The Massachusetts Institute of Technology permanently took down its 80 Million Tiny Images dataset—a popular image database used to train machine learning systems to identify people and objects in an environment—because it used a range of racist, misogynistic, and other offensive terms to label photos.

In a letter published Monday to MIT’s CSAIL website, the three creators of the huge dataset, Antonio Torralba, Rob Fergus, and Bill Freeman, apologized and said they had decided to take the dataset offline.

"It has been brought to our attention that the Tiny Images dataset contains some derogatory terms as categories and offensive images. This was a consequence of the automated data collection procedure that relied on nouns from WordNet. We are greatly concerned by this and apologize to those who may have been affected," they wrote in the letter.

According to the letter, the dataset was created in 2006 and contains 53,464 different nouns, directly copied from Wordnet. Those terms were used to download images of the corresponding noun from Internet search engines at the time to collect the 80 million images (at tiny 32x32 resolution).

MIT pulls massive AI dataset over racist, misogynistic content

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