Can AI help create “smart borders” between countries?

Can AI help create “smart borders” between countries?

A refugee in Uganda’s Oruchinga settlement uses an iris scan to claim food assistance.

Claire Nevill/WFP


In 2016, border patrols in Greece, Latvia and Hungary received a prototype for an AI-powered lie detector to help screen asylum seekers. The detector, called iBorderCtrl, was funded by the European Commission in hopes to eventually mitigate refugee crises like the one sparked by the Syrian civil war a year prior.

iBorderCtrl, which analyzes micro expressions in the face, received but one slice of the Commission’s €34.9 billion border control and migration management budget. Still in development is the more ambitious EuMigraTool, a predictive AI system that will process internet news and social media posts to estimate not only the number of migrants heading for a particular country, but also the “risks of tensions between migrants and EU citizens.”

Both iBorderCtrl and EuMigraTool are part of a broader trend: the growing digitization of migration-related technologies. Outside of the EU, in refugee camps in Jordan, the United Nations introduced iris scanning software to distribute humanitarian aid, including food and medicine. And in the United States, Customs and Border Protection has attempted to automate its services through an app called CBP One, which both travelers and asylum seekers can use to apply for I-94 forms, the arrival-departure record cards for people who are not U.S. citizens or permanent residents.

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Tim Brinkhof
Tim Brinkhof is a Dutch, New York-based journalist. He studied European history at New York University and has written about politics and technology for Vox, Jacobin, New Lines Magazine and MIT Technology Review.
Scientists are working on eye transplants for vision loss. Who will sign up?

Often called the window to the soul, the eyes are more sacred than other body parts, at least for some.

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Awash in a fluid finely calibrated to keep it alive, a human eye rests inside a transparent cubic device. This ECaBox, or Eyes in a Care Box, is a one-of-a-kind system built by scientists at Barcelona’s Centre for Genomic Regulation (CRG). Their goal is to preserve human eyes for transplantation and related research.

In recent years, scientists have learned to transplant delicate organs such as the liver, lungs or pancreas, but eyes are another story. Even when preserved at the average transplant temperature of 4 Centigrade, they last for 48 hours max. That's one explanation for why transplanting the whole eye isn’t possible—only the cornea, the dome-shaped, outer layer of the eye, can withstand the procedure. The retina, the layer at the back of the eyeball that turns light into electrical signals, which the brain converts into images, is extremely difficult to transplant because it's packed with nerve tissue and blood vessels.

These challenges also make it tough to research transplantation. “This greatly limits their use for experiments, particularly when it comes to the effectiveness of new drugs and treatments,” said Maria Pia Cosma, a biologist at Barcelona’s Centre for Genomic Regulation (CRG), whose team is working on the ECaBox.

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Stav Dimitropoulos
Stav Dimitropoulos's features have appeared in major outlets such as the BBC, National Geographic, Scientific American, Nature, Popular Mechanics, Science, Runner’s World, and more. Follow her on Facebook or Twitter @TheyCallMeStav.
As Our AI Systems Get Better, So Must We

In order to build the future we want, we must also become ever better humans, explains the futurist Jamie Metzl in this opinion essay.

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As the power and capability of our AI systems increase by the day, the essential question we now face is what constitutes peak human. If we stay where we are while the AI systems we are unleashing continually get better, they will meet and then exceed our capabilities in an ever-growing number of domains. But while some technology visionaries like Elon Musk call for us to slow down the development of AI systems to buy time, this approach alone will simply not work in our hyper-competitive world, particularly when the potential benefits of AI are so great and our frameworks for global governance are so weak. In order to build the future we want, we must also become ever better humans.

The list of activities we once saw as uniquely human where AIs have now surpassed us is long and growing. First, AI systems could beat our best chess players, then our best Go players, then our best champions of multi-player poker. They can see patterns far better than we can, generate medical and other hypotheses most human specialists miss, predict and map out new cellular structures, and even generate beautiful, and, yes, creative, art.

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Jamie Metzl
Jamie Metzl is a leading futurist and the Founder and Chair of OneShared.World, https://www.oneshared.world/. His book, The Great Biohack: Recasting Life in an Age of Revolutionary Technology, will be published in May 2024 by Timber/Hachette. www.jamiemetzl.com.