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ImageNet are likely incredibly naive with how they approached and fixed all of this. from the article "Jamal Jordan, a journalist at the New York Times, explai
by Out_of_Characte 7y ago
ImageNet are likely incredibly naive with how they approached and fixed all of this.
from the article "Jamal Jordan, a journalist at the New York Times, explained on Twitter that each of his uploaded photographs returned tags like “Black, Black African, Negroid, or Negro.”"
Which indicates that the vocabulary they used has 4 words to describe a black person's skin color. This severely complicates things and leaves all kinds of unintended biases on the table before even getting to the human element. Though I doubt they used a dictionary at all because 'Black African' isn't really a word. And not found in a few dictionaries I tried online. - if the article is accurate.
They should have curated the vocabulary first, value judgements like 'attractive' should be removed because it means something different for everyone judging the images. Synonyms should be collapsed into one to prevent weighted biases, etc.
- esyir 7y agoI'm actually quite surprised that they didn't collapse the synonyms though. Though value judgements should not be removed. They should have been separated and placed together with some tagger metadata as they might actually be informative then.