A broad assessment shows that while there have been efforts to support women in AI, much more needs to be done to achieve gender equity in the field. This includes tackling the gender pay gap, ensuring equal representation in decision-making roles, and addressing biases in AI algorithms that perpetuate stereotypes. A commitment to prioritizing gender equity across all aspects of AI research and development is essential for fostering an environment where women can succeed and lead.
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