Gender biased algorithmic hiring

Building on the myth of the double blind, Criado Perez¹ tackles the next big issue for "artificial intelligence", which is the recruitment bias. Although it could be possible to overcome the limitations (and biases) of CV-screening by a human, algorithms which are mainly done by men will fall pray of their own limitations.

For example, a company call Gild, was using some indicators of programming excellence of candidates. Those indicators included how often people were engaging on a specific manga website. This, however, does not account for the fact that women may not have the time for such banalities (see: how much unpaid work is done by women), or may be penalized for such an anti-social behavior (see: expected female traits).

Therefore, Gild's system is biased towards men but they hide behind secrecy and the absurd notion of the purity of algorithms (see: what are algorithms).

Tags: #gender-bias #gender-bias-in-business #gender-bias-in-ai