The Biometric UXtra: a new rubric about UX design

Verified social media: How can biometrics tame hate, hoaxes and fraud caused by anonymity?

Today's easy anonymity on social media creates an open avenue for scammers, cheaters and bots. Could biometric verification be the way to make these platforms friendlier and more “social” again? We explore the topic with Ján Lunter, CEO of Innovatrics, who thinks biometrics is key to social media security and safety.

Five threats in sharing economy apps and how biometrics could help fight back

Sharing economy platforms such as Uber or Airbnb should always have control over who is using the platform and how. However, in some cases, fraudsters and criminals are able to take advantage of sharing economy services and put the safety of users and the reputation of the platforms at serious risk. Read about five threats and scams that have occurred on sharing economy platforms and how the use of biometric technology could have prevented them.

How biometric identity verification protects passengers using
ride-hailing apps

To get home one night, you order a taxi through a ride-hailing app. You don’t check who your driver is because you don’t have to. With driver face verification and liveness check algorithms, you know that the ride-hailing app continuously verifies thousands of drivers, making all the rides you take safe.

Is facial recognition helping or hurting law enforcement?

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.

The magic of synthetic data: How nonexistent fingerprints help identify real criminals

To train a viable AI model, you need data. Lots of it. But what do you do if there just isn't enough? Simple: you make some up. Or, to put it in fancier terms, you “generate synthetic data”.

“Proving guilt requires more than a fingerprint match,” says the director of the Institute of Forensic Science

Biometric fingerprint identification has helped forensic experts in thousands of investigations. Yet, the fingerprint itself is just one piece of evidence evaluated by the court.

From measuring head length to advanced facial biometrics: The history of criminal identification

How did the police catch villains back in the old days, before the dawn of computers, fancy tech gadgets and automated biometric identification systems?

Entering the era of DNA IDs: Will DNA become an integral part of our personal identity documents?

Since 1986, DNA has revolutionised criminal investigations, arresting killers and clearing the innocent. However, even though DNA fingerprints has helped to identify criminals, they do not contain any real personal information, such as race or height. For this reason, experts consider using them as DNA IDs in government databases for registration, verification, and access control.

AI researcher Martin Tamajka: “If we are to trust AI in courtrooms, it needs to justify its decisions.”

AI is transforming jobs across a wide range of industries. However, there are still concerns about using it extensively when people's lives or futures are at risk, such as in medicine or law. In these cases, it's not enough for AI to just produce an answer – it also needs to be able to explain how it came up with that answer.