Yes, algorithms, often built on past data that reflect historical biases, can inadvertently perpetuate gender stereotypes. They can reinforce biases present in their training data, which often comes from societies that have not achieved gender equality. For instance, job recommendation algorithms might show high-paying or leadership roles more frequently to men if the data they were trained on mirrors a workforce where men predominantly held these positions. This not only perpetuates stereotypes but also impacts the visibility of opportunities for women.
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