In the quest to create ethical AI, intersectional feminist perspectives prioritize diverse data sets that accurately represent humanity's multifaceted nature. By harnessing the power of these varied data sources, AI models can be designed to be more inclusive and equitable, avoiding biases that traditionally marginalize underrepresented groups. This approach ensures that AI technologies are developed with a keen awareness of the nuanced differences within gender, race, ethnicity, and other identity categories, leading to fairer outcomes for all.
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