Google open-sources skin tone research to improve inclusivity GoogleIO
widely available as part of its effort at creating more ”responsible AI.” The research has so far resulted in the Monk Skin Tone Scale , a scale “designed to be easy-to-use for development and evaluation of technology while representing a broader range of skin tones.”
The scale is meant to more accurately reflect the diversity of different skin tones, Google says, and was developed with Harvard professor Dr. Ellis Monk. The work will help AI more accuratelyThis research will be most apparent to users in Search results and in Google's Photos app to start. For Search, Google is using the MST scale to surface results that are more inclusive of darker skin tones.
Eventually, Google says it will incorporate the MST scale into more of its products and services. It’s also working to make it easier for brands, creators and publishers to label content to adapt to the scale so Search will be better able to surface results for different hair textures and colors too.
Google isn't the first company to undertake this type of work. Pinterest has launched features to better detect diverse
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