Women in the generative AI space often face challenges stemming from gender bias embedded in AI models, which can perpetuate stereotypes and discrimination. Overcoming this requires active efforts to diversify data sets and algorithmic audits to ensure fairness and representation.

Women in the generative AI space often face challenges stemming from gender bias embedded in AI models, which can perpetuate stereotypes and discrimination. Overcoming this requires active efforts to diversify data sets and algorithmic audits to ensure fairness and representation.

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