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European Union to pilot AI facial analysis to catch dishonest travelers

03 November 2018
European Union to pilot AI facial analysis to catch dishonest travelers

The guards will be uniquely programmed according to the traveler's age, ethnicity, and gender.

"We're employing existing and proven technologies - as well as novel ones - to empower border agents to increase the accuracy and efficiency of border checks".

A few checkpoints in the European Union are about to take a step into Sci-Fi territory quite soon. People crossing the four borders will have to fill out and sign some forms, upload documents such as their passport, visa and proof of funds, and then will be asked some questions by the virtual border guard.

"Non-verbal signals, such as micro-expressions, really do not say anything about whether someone is lying or not".

Travellers deemed low risk during the pre-screening stage will go through a short re-evaluation of their information for entry, while higher-risk passengers will undergo a more detailed check. "iBorderCtrl's system will collect data that will move beyond biometrics and on to biomarkers of deceit".

If the AI suspects that the traveler is lying, then they will be going to under biometric information and will be passed on to a human agent who will then go to their review their application and make an amended decision. When the iBorderCtrl determines the traveler who is being truthful, they will receive a QR code that will surely let them pass the border easily.

In its current state, the pilot program is not expected to prevent anyone from crossing the border.

Travelers to Hungary, Latvia, and Greece will be given a lie detector test-conducted by computer-animated border agent. Initial trials will begin with lab testing to train border guards with the system, this is followed by onsite testing of the system along borders.

Boultadakis said that the technology is a outcome of "increasing terror attacks taking place on European Union soil, and the migration crisis". A test of an earlier system by some of the same researchers saw a roughly 76% accuracy rate at detecting people who lied or told the truth at experimenter request, though the team thinks they can get the accuracy up to closer to 85%.