Biometric data in the U.S. refers to data that relates to measurable biological and behavioral characteristics that can be used to identify an individual. Examples include fingerprints, facial recognition, iris scans, and behavior-based data like gait or keystrokes.
According to definitions and discussions from theAI Governance in Practice Report2025and U.S. privacy frameworks:
“Biometric data includes physical and behavioral human characteristics that can be used to digitally identify a person to grant access to systems, devices, or data. Examples include facial images, iris patterns, gait analysis, and voice recognition.” (Report context based on common frameworks in U.S. AI law and the use of biometrics in AI governance.)
Here’s how the options relate:
A. Iris scans– These are physical biometric identifiers.
B. Walking gait– Behavioral biometric used increasingly in surveillance and identification.
C. Keystroke dynamics– Behavioral biometric based on typing patterns.
D. GPS location of a user's fitness watch– This isnotbiometric data. It islocation data, which may be sensitive or personal, but not biometric.
