A Pilot Experience to Raise Awareness Among Computer Science Undergraduates About the Gender Biases of Algorithms

Many of the decisions we make are increasingly entrusted to algorithms, although there is evidence that many of them are biased, which aggravate the inequalities of the affected groups. Gender bias is considered the biggest contributor to gender stereotypes and social inequalities. To avoid this type of bias, it is necessary that future developers of algorithms be aware of its existence. This work describes an experience carried out to make Computer Science undergraduates aware of the gender biases of algorithms and the consequences they can have. The results reveal that the main objective has been raised. From the gender segregation of the data collected, previous findings are also confirmed: the need for gender analysis in science, and the greater awareness of girls of the need to address the gender gap in Computer Science studies.