  Smartphones are integral to our daily lives and activities, providing us with
basic functions like texting and phone calls to more complex motion-based
functionalities like navigation, mobile gaming, and fitness-tracking. To
facilitate these functionalities, smartphones rely on integrated sensors like
accelerometers and gyroscopes. These sensors provide personalized measurements
that, in turn, contribute to tasks such as analyzing biometric data for mobile
health purposes. In addition to benefiting smartphone users, biometric data
holds significant value for researchers engaged in biometric identification
research. Nonetheless, utilizing this user data for biometric identification
tasks, such as gait and gender recognition, raises serious privacy, normative,
and ethical concerns, particularly within the queer community. Concerns of
algorithmic bias and algorithmically-driven dysphoria surface from a historical
backdrop of marginalization, surveillance, harassment, discrimination, and
violence against the queer community. In this position paper, we contribute to
the timely discourse on safeguarding human rights within AI-driven systems by
providing a sense of challenges, tensions, and opportunities for new data
protections and biometric collection practices in a way that grapples with the
sociotechnical realities of the queer community.
