Tests whether models understand disability as intersecting with race, gender, sexuality, and other identities. Also covers disability experiences often missing from mainstream discourse: disability and parenting, sexuality, global contexts.

Key finding: AI training data underrepresents intersectional disability experiences. Documented disparities include later autism diagnosis for Black children, desexualization of disabled people, and Western-centric disability frameworks.