Trans Identities in Research on Gender Recognition Software

Our project investigates the language of facial recognition research publications, particularly if and how they mention non-binary gender, gender non-conformity, and gender transition.

We analyze how choices of phrases and citations in gender recognition research do or do not draw on trans experience and trans voices, or do or do not link to scholarship on gender and trans identity. Through corpus analysis of facial recognition research, we highlight the stark absence of links to relevant research on gender identity and the prevailing conception of binary and immutable gender.

Principal Investigators

Katja Thieme
Mary Ann Saunders
Laila Ferreira

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