AI algorithms, much like any other technology, inherit the biases of their creators and the data they're trained on. There is significant evidence that many current algorithms exhibit bias against women, ranging from gender stereotypes in job recommendation systems to underrepresentation in data sets used for facial recognition. Addressing this requires a multifaceted approach, including diversifying teams that design AI, ensuring gender-balanced data sets, and implementing regular audits for gender bias.
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