Bias in AI often stems from machine learning algorithms that are trained on biased data sets. This can lead to AI systems that inadvertently perpetuate gender biases. Women in tech can address this by working on the development of algorithms that are transparent and able to be audited for bias, as well as creating more balanced datasets.
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