Female perspectives on algorithmic bias: implications for AI researchers and practitioners

What is it about?

- AI algorithmic bias negatively impacts female users, promoting injustice and lack of equality. - Females request an intersectional, collaborative, and pluralistic understanding of gender in AI. - Women share evidence and provide solutions to address AI-gendered bias in social networks. - The future of AI technologies and the role of women in guaranteeing gender balance systems are key. - The term sustainability is strongly linked to conversations about gender inequity. - Gender and race are interrelated concepts that are associated with inclusive AI technologies.

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