Data collection practices that feed into AI and machine learning models can perpetuate gender stereotypes through algorithmic bias. When datasets are not diverse or are heavily skewed towards traditional gender norms, AI systems learn and replicate these biases, affecting decision-making from job applicant screening to personalized online advertising.
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