In evaluating benchmark datasets from organizations like NIST, I found some surprising imbalances. One prominent NIST dataset was 75 percent male and 80 percent lighter skinned, what I like to call a 'pale male' dataset.
Discussing biases in datasets used by NIST for evaluating algorithms.
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