Gender Shades



By The Algorithmic Justice League

The Gender Shades project evaluates the accuracy of AI powered gender classification products. This evaluation focuses on gender classification as a motivating example to show the need for increased transparency in the performance of any AI products and services that focused on human subjects. Bias in this context is defined as having practical differences in gender classification error rates between groups.

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