, Ana I. Molina Díaz
, Alicia García Holgado
, 2023, ISBN 978-981-99-0941-4, págs. 414-423Many of the decisions we make are increasingly entrusted to algorithms, although there is evidence that many of them are biased, which aggravatethe 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. Thiswork describes an experience carried out to make Computer Science undergraduates aware of the gender biases of algorithms and the consequences they canhave. The results reveal that the main objective has been raised. From the gendersegregation of the data collected, previous findings are also confirmed: the needfor gender analysis in science, and the greater awareness of girls of the need toaddress the gender gap in Computer Science studies.
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