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.
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Dr. May Edward Chinn, Kizzmekia Corbett, PhD., and Alice Ball, among others, have been behind some of the most important scientific work of the last century.


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Sarah Watts

Sarah Watts is a health and science writer based in Chicago.

natural killer cell
NIAID, CC BY 2.0 <https://creativecommons.org/licenses/by/2.0>, via Wikimedia Commons

On today’s episode of Making Sense of Science, I’m honored to be joined by Dr. Paul Song, a physician, oncologist, progressive activist and biotech chief medical officer. Through his company, NKGen Biotech, Dr. Song is leveraging the power of patients’ own immune systems by supercharging the body’s natural killer cells to make new treatments for Alzheimer’s and cancer.

Whereas other treatments for Alzheimer’s focus directly on reducing the build-up of proteins in the brain such as amyloid and tau in patients will mild cognitive impairment, NKGen is seeking to help patients that much of the rest of the medical community has written off as hopeless cases, those with late stage Alzheimer’s. And in small studies, NKGen has shown remarkable results, even improvement in the symptoms of people with these very progressed forms of Alzheimer’s, above and beyond slowing down the disease.

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Matt Fuchs
Matt Fuchs is the host of the Making Sense of Science podcast and served previously as the editor-in-chief of Leaps.org. He writes as a contributor to the Washington Post, and his articles have also appeared in the New York Times, WIRED, Nautilus Magazine, Fortune Magazine and TIME Magazine. Follow him @fuchswriter.