Areas of Strategic Visibility: Disability Bias in Biometrics
Jennifer Mankoff (representing the Center for Research, Education, on Accessible Technology, Experiences, U. Washington), Devva Kasnitz,, Disability Studies (City University of New York), L Jean Camp (Indiana U.),, Jonathan Lazar (U. of Maryland, HCIL, Trace Center)
TL;DR
This paper examines how biometric systems can both assist and hinder disabled individuals, highlighting accessibility issues and the impact of disabilities on biometric signal effectiveness.
Contribution
It provides an analysis of the accessibility challenges and biases faced by disabled people in biometric systems, emphasizing the need for inclusive design.
Findings
Biometric systems often exclude disabled users.
Disabilities can affect biometric signal accuracy.
Accessibility considerations are crucial for equitable biometric deployment.
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCybersecurity and Cyber Warfare Studies · Privacy, Security, and Data Protection · User Authentication and Security Systems
MethodsEmirates Airlines Office in Dubai