Designing Inclusive AI Systems through Intersectionality

Incorporating intersectionality into AI design means building models and datasets that reflect the complex identities of users. This approach helps reduce gender bias by ensuring that AI technologies serve diverse groups effectively, minimizing harm and promoting equitable outcomes in areas like hiring, lending, and healthcare.

Incorporating intersectionality into AI design means building models and datasets that reflect the complex identities of users. This approach helps reduce gender bias by ensuring that AI technologies serve diverse groups effectively, minimizing harm and promoting equitable outcomes in areas like hiring, lending, and healthcare.

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