Plus, here's what Facebook and Zoom have been doing in this problematic field.
that IBM, Face++, and Microsoft’s facial recognition disproportionally misclassified the gender of darker-skinned faces and female faces. The worst performing tools misclassified the gender of darker-skinned female faces 34.7 percent of the time while the gender of lighter-skinned male faces were misclassified between just 0 percent and 0.8 percent of the time.
. Crompton writes, “Experts inside and outside the company have highlighted the lack of scientific consensus on the definition of ‘emotions,’ the challenges in how inferences generalize across use cases, regions, and demographics, and the heightened privacy concerns around this type of capability.”, which it has just released to the public.
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