Areas of Strategic Visibility: Disability Bias in Biometrics
Not on the map. Why?
Abstract (arXiv)
This response to the RFI considers the potential for biometrics to help or harm disabled people2. Biometrics are already integrated into many aspects of daily life, from airport travel to mobile phone use. Yet many of these systems are not accessible to people who experience different kinds of disability exclusion . Different personal characteristics may impact any or all of the physical (DNA, fingerprints, face or retina) and behavioral (gesture, gait, voice) characteristics listed in the RFI as examples of biometric signals.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 31 references that are in the map. First posted on arXiv 14 Jul 2022.
Builds on
4 of 31 references.
References · 4
- 2019Principles alone cannot guarantee ethical AIcited by 134
- 2018Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failurecited by 49
- 2019Toward Fairness in AI for People with Disabilities: A Research Roadmapcited by 21
- 2021Understanding the Representation and Representativeness of Age in AI Data Setscited by 15
Built on by
Citing papers per year: 2025: 1.
1 paper.