Gender bias in AI can lead to discriminatory outcomes, where certain genders are unfairly treated or disadvantaged. This perpetuates existing societal inequalities and undermines the fairness of AI-driven decisions. Addressing this requires integrating fairness metrics into AI development and rigorously testing models for bias before deployment.
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