Underrepresentation in Tech Leadership

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The lack of female representation in tech leadership roles limits mentorship and advancement opportunities for women in generative AI. Encouraging diversity in leadership through quotas, inclusive hiring practices, and promoting women's networks can help address this imbalance.

The lack of female representation in tech leadership roles limits mentorship and advancement opportunities for women in generative AI. Encouraging diversity in leadership through quotas, inclusive hiring practices, and promoting women's networks can help address this imbalance.

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NEELIMA MANGAL
Delivery Tech Executive | Forbes, MIT CIO Council Member | Author - Climb,Lead,Succeed | Podcast Host - The Power of Women in the World of Tech | CoFounder at Spectrum North
Tue, 04/09/2024 - 14:13

Women in generative AI confront a number of challenges, including opportunities that are limited and gender bias in models. We need diversified datasets, women in model development, diversity in AI, and increased funding and assistance to overcome challenges.
Fostering a stronger community and overcoming obstacles along with other women in the profession is one piece of advice that has been helpful.

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