# Should they? Mobile Biometrics and Technopolicy meet Queer Community Considerations

arXiv: https://arxiv.org/abs/2311.10725 · HTML: https://mlsanity.com/paper/2311.10725/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 101 references that are in the map.
- First posted on arXiv 6 Oct 2023.

## Builds on (most cited first, 8 of 8)

- [Discrimination in the Age of Algorithms](https://mlsanity.com/paper/1902.03731/) (2019)
- [Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities](https://mlsanity.com/paper/2102.04257/) (2021)
- [Queer In AI: A Case Study in Community-Led Participatory AI](https://mlsanity.com/paper/2303.16972/) (2023)
- [Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey](https://mlsanity.com/paper/2001.08578/) (2020)
- [Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms](https://mlsanity.com/paper/2307.10223/) (2023)
- [Authentication of Smartphone Users Using Behavioral Biometrics](https://mlsanity.com/paper/1911.04104/) (2019)
- [Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management](https://mlsanity.com/paper/2110.09271/) (2021)
- ["This Whole Thing Smacks of Gender": Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis](https://mlsanity.com/paper/2101.08325/) (2021)

## Abstract (arXiv)

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.