- #digital identity
- #facial recognition
- #fingerprint recognition
- #iris recognition
- #online elections
- #voice recognition
While the majority of people in the United States approve of the police using facial recognition technology, experts warn that some may be relying on it too heavily, and that the level of human involvement still required cannot be underestimated.
Former NYPD inspector Joseph Courtesis:
“We create less bias when we use facial recognition algorithms in our work.”
Concerns about biometric recognition algorithms often come down to the issue of tackling racial or gender bias.
Today, the main risk of using biometrics is not inaccuracy, but ensuring the protection of sensitive personal data. Any potential intrusion of privacy, real or perceived, risks the reputation of the companies using the technology, and has the potential to seriously damage customer trust.
“This technology has helped in so many cases. I hope it will be used even more,” says a liveness check expert Peter Molčány
Videocalls have been a foolproof standard for liveness checks, but they are expensive, unnecessary and difficult to scale.
How independent testing has impacted face recognition accuracy– and helped create trustworthy marketing
Does a generic claim like “99.99% accuracy” really make the grade now, if not supported by evidence from independent assessments?
The digital age has opened up new, easily accessible avenues for ID fraud.
No biometric system is error-free, but year by year the accuracy gets more and more exact.