What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
national conference on artificial intelligence, pp. 125-134, 2019.
Abstract:
Although systematic biases in decision-making are widely documented, the ways in which they emerge from different sources is less understood. We present a controlled experimental platform to study gender bias in hiring by decoupling the effect of world distribution (the gender breakdown of candidates in a specific profession) from bias in...More
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