Intersectionality and the Limitations of Binary Gender Models in AI

AI systems often rely on binary gender classifications, which fail to capture the experiences of non-binary, transgender, and gender-nonconforming individuals. Intersectionality challenges these limitations by advocating for gender models that include a spectrum of identities, thereby reducing bias and exclusion in AI applications.