Christopher John

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I noticed that as more people labeled the dataset, the skin itself was not the deciding factor. Instead, facial features, national origin, and perceived ethnicity also played into whether someone on the borderline of classification would be placed in a lighter or a darker category. If the person appeared as South Asian they were labeled as Type IV; if they had lighter perceived skin but were in an African parliament and not phenotypically white, they were placed in a darker category. Like gender, the cases that defied clear-cut classification were those that exposed our assumptions most ...more
Unmasking AI: My Mission to Protect What Is Human in a World of Machines
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