AI-infused hiring programs have drawn scrutiny, most notably over whether they end up exhibiting biases based on the data they’re trained on.

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[–] 3 points 3 years ago

It depends how “bias” has been defined. The Ibram Kendi definition is unequal outcomes. Since no two groups are identical, such definitions require bias to be “unbiased.” Australia tried to employ blind recruitment and hired fewer women and minorities. That’s true unbiased recruitment, but I suspect it wouldn’t be praised today.

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