AI systems in women's health can inadvertently perpetrate bias. Historical health data often contains biases based on gender, race, and socio-economic status, leading to AI models that may provide skewed or unfair medical insights and recommendations. Addressing these biases is crucial to developing equitable and effective AI-driven health solutions.
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