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Gender Disparity in Data Science and Artificial Intelligence

1 October 2022
Media Article
Publisher : Analytics Insight

18507

This article discusses the existing gender disparity in the fields of Data Science and Artificial Intelligence. It explores the reasons behind the underrepresentation of women, such as societal biases, lack of mentorship, and limited opportunities. The piece emphasizes the importance of diversity for building better, unbiased algorithms and solving real-world problems effectively. It also highlights initiatives and strategies to bridge this gap, promoting greater inclusivity and participation of women in these critical technological domains.

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Key topics

Education and Skill Development, Gender Equality and Women Empowerment

Also found in

Organisational Culture, People, and Leadership Development Scaling Social Impact

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