Algorithmic bias poses a significant threat to data privacy, with gender biases in AI and machine learning processes leading to discriminatory outcomes. These biases can result in unfair targeting, exclusion, or exposure of certain groups, disproportionately affecting women and gender minorities. The nuanced understanding of how algorithms process and protect data, with a gender-aware lens, is essential for fostering a safer digital environment for all.
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