Facebook dataset combats AI bias by having people self-identify age and gender

Facebook today open-sourced a dataset designed to surface age, gender, and skin tone biases in computer vision and audio machine learning models. The company claims that the corpus — Casual Conversations — is the first of its kind featuring paid people who explicitly provided their age and gender as opposed to labeling this information by third parties or estimating it using models.
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