Corby’s tour of the currently available options for highly effective, privacy preserving age assurance demonstrates the pace at which innovation in the sector continues to advance. The umbrella category of age assurance has evolved from ID-based age verification and even facial age estimation to include a new generation of technologies. Corby demonstrates emergent models like Needemand’s age estimation method based on hand gestures, or algorithmic age inference that draws on existing documentation or user-generated content and behavior. Song says “facial age estimation has become the most dominant form” of age assurance, in large part because of the convenience. Article Topicsage verification | AVPA | biometric age estimation | biometrics | facial age estimation (FAE) | legislation | Persona | reusable digital ID | United States