Products and services developed with biased training data may fail to meet the needs of female users or, worse, exclude them. From health tracking apps that do not consider female health metrics to voice recognition systems that struggle to understand female voices, the impact of biased data is pervasive, making technology less inclusive and efficient for everyone.
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