What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring

Andi Peng
Andi Peng
Kori Inkpen
Kori Inkpen

national conference on artificial intelligence, pp. 125-134, 2019.

Cited by: 5|Views47

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

Code:

Data:

Your rating :
0

 

Tags
Comments