Can AI help create “smart borders” between countries?
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.
According to Koen Leurs, professor of gender, media and migration studies at Utrecht University in the Netherlands, we have arrived at a point where migration management has become so reliant on digital technology that the former can no longer be studied in isolation from the latter. Investigating this reliance for his new book, Digital Migration, Leurs came to the conclusion that applications like those mentioned above are more often than not a double-edged sword, presenting both benefits and drawbacks.
There has been “a huge acceleration” in the way digital technologies “dehumanize people,” says Koen Leurs, professor of gender, media and migration studies at Utrecht University in the Netherlands. Governments treat asylum seekers as test subjects for new inventions, all along the borders of the developed world.
On the one hand, digital technology can make migration management more efficient and less labor intensive, enabling countries to process larger numbers of people in a time when global movement is on the rise due to globalization and political instability. Leurs also discovered that informal knowledge networks such as Informed Immigrant, an online resource that connects migrants to social workers and community organizers, have positively impacted the lives of their users. The same, Leurs notes, is true of platforms like Twitter, Facebook, and WhatsApp, all of which migrants use to stay in touch with each other as well as their families back home. “The emotional support you receive through social media is something we all came to appreciate during the COVID pandemic,” Leurs says. “For refugees, this had already been common knowledge for years.”
On the flipside, automatization of migration management – particularly through the use of AI – has spawned extensive criticism from human rights activists. Sharing their sentiment, Leurs attests that many so-called innovations are making life harder for migrants, not easier. He also says there has been “a huge acceleration” in the way digital technologies “dehumanize people,” and that governments treat asylum seekers as test subjects for new inventions, all along the borders of the developed world.
In Jordan, for example, refugees had to scan their irises in order to collect aid, prompting the question of whether such measures are ethical. Speaking to Reuters, Petra Molnar, a fellow at Harvard University’s Berkman Klein Center for Internet and Society, said that she was troubled by the fact that this experiment was done on marginalized people. “The refugees are guinea pigs,” she said. “Imagine what would happen at your local grocery store if all of a sudden iris scanning became a thing,” she pointed out. “People would be up in arms. But somehow it is OK to do it in a refugee camp.”
Artificial intelligence programs have been scrutinized for their unreliability, their complex processing, thwarted by the race and gender biases picked up from training data. In 2019, a female reporter from The Intercept tested iBorderCtrl and, despite answering all questions truthfully, was accused by the machine of lying four out of 16 times. Had she been waiting at checkpoint on the Greek or Latvian border, she would have been flagged for additional screening – a measure that could jeopardize her chance of entry. Because of its biases, and the negative press that this attracted, iBorderCtrl did not move past its test phase.
While facial recognition caused problems on the European border, it was helpful in Ukraine, where programs like those developed by software company Clearview AI are used to spot Russian spies, identify dead soldiers, and check movement in and out of war zones.
In April 2021, not long after iBorderCtrl was shut down, the European Commission proposed the world’s first-ever legal framework for AI regulation: the Artificial Intelligence Act. The act, which is still being developed, promises to prevent potentially “harmful” AI practices from being used in migration management. In the most recent draft, approved by the European Parliament’s Liberties and Internal Market committees, the ban included emotion recognition systems (like iBorderCtrl), predictive policing systems (like EUMigraTool), and biometric categorization systems (like iris scanners). The act also stipulates that AI must be subject to strict oversight and accountability measures.
While some worry the AI Act is not comprehensive enough, others wonder if it is in fact going too far. Indeed, many proponents of machine learning argue that, by placing a categorical ban on certain systems, governments will thwart the development of potentially useful technology. While facial recognition caused problems on the European border, it was helpful in Ukraine, where programs like those developed by software company Clearview AI are used to spot Russian spies, identify dead soldiers, and check movement in and out of war zones.
Instead of flat-out banning AI, why not strive to make it more reliable? “One of the most compelling arguments against AI is that it is inherently biased,” says Vera Raposo, an assistant professor of law at NOVA University in Lisbon specializing in digital law. “In truth, AI itself is not biased; it becomes biased due to human influence. It seems that complete eradication of biases is unattainable, but mitigation is possible. We can strive to reduce biases by employing more comprehensive and unbiased data in AI training and encompassing a wider range of individuals. We can also work on developing less biased algorithms, although this is challenging given that coders, being human, inherently possess biases of their own.”
AI is most effective when it enhances human performance rather than replacing it.
Accessibility is another obstacle that needs to be overcome. Leurs points out that, in migration management, AI often functions as a “black box” because the migration officers operating it are unable to comprehend its complex decision-making process and thus unable to scrutinize its results. One solution to this problem is to have law enforcement work closely with AI experts. Alternatively, machine learning could be limited to gathering and summarizing information, leaving evaluation of that information to actual people.
Raposo agrees AI is most effective when it enhances human performance rather than replacing it. On the topic of transparency, she does note that making an AI that is both sophisticated and easy to understand is a little bit like having your cake and eating it too. “In numerous domains,” she explains, “we might need to accept a reduced level of explainability in exchange for a high degree of accuracy (assuming we cannot have both).” Using healthcare as an analogy, she adds that “some medications work in ways not fully understood by either doctors or pharma companies, yet persist due to demonstrated efficacy in clinical trials.”
Leurs believes digital technologies used in migration management can be improved through a push for more conscientious research. “Technology is a poison and a medicine for that poison,” he argues, which is why new tech should be developed with its potential applications in mind. “Ethics has become a major concern in recent years. Increasingly, and particularly in the study of forced migration, researchers are posing critical questions like ‘what happens with the data that is gathered?’ and ‘who will this harm?’” In some cases, Leurs thinks, that last question may need to be reversed: we should be thinking about how we can actively disarm oppressive structures. “After all, our work should align with the interests of the communities it is going to affect.”
Fast for Longevity, with Less Hunger, with Dr. Valter Longo
You’ve probably heard about intermittent fasting, where you don’t eat for about 16 hours each day and limit the window where you’re taking in food to the remaining eight hours.
But there’s another type of fasting, called a fasting-mimicking diet, with studies pointing to important benefits. For today’s podcast episode, I chatted with Dr. Valter Longo, a biogerontologist at the University of Southern California, about all kinds of fasting, and particularly the fasting-mimicking diet, which minimizes hunger as much as possible. Going without food for a period of time is an example of good stress: challenges that work at the cellular level to boost health and longevity.
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If you’ve ever spent more than a few minutes looking into fasting, you’ve almost certainly come upon Dr. Longo's name. He is the author of the bestselling book, The Longevity Diet, and the best known researcher of fasting-mimicking diets.
With intermittent fasting, your body might begin to switch up its fuel type. It's usually running on carbs you get from food, which gets turned into glucose, but without food, your liver starts making something called ketones, which are molecules that may benefit the body in a number of ways.
With the fasting-mimicking diet, you go for several days eating only types of food that, in a way, keep themselves secret from your body. So at the level of your cells, the body still thinks that it’s fasting. This is the best of both worlds – you’re not completely starving because you do take in some food, and you’re getting the boosts to health that come with letting a fast run longer than intermittent fasting. In this episode, Dr. Longo talks about the growing number of studies showing why this could be very advantageous for health, as long as you undertake the diet no more than a few times per year.
Dr. Longo is the director of the Longevity Institute at USC’s Leonard Davis School of Gerontology, and the director of the Longevity and Cancer program at the IFOM Institute of Molecular Oncology in Milan. In addition, he's the founder and president of the Create Cures Foundation in L.A., which focuses on nutrition for the prevention and treatment of major chronic illnesses. In 2016, he received the Glenn Award for Research on Aging for the discovery of genes and dietary interventions that regulate aging and prevent diseases. Dr. Longo received his PhD in biochemistry from UCLA and completed his postdoc in the neurobiology of aging and Alzheimer’s at USC.
Show links:
Create Cures Foundation, founded by Dr. Longo: www.createcures.org
Dr. Longo's Facebook: https://www.facebook.com/profvalterlongo/
Dr. Longo's Instagram: https://www.instagram.com/prof_valterlongo/
Dr. Longo's book: The Longevity Diet
The USC Longevity Institute: https://gero.usc.edu/longevity-institute/
Dr. Longo's research on nutrition, longevity and disease: https://pubmed.ncbi.nlm.nih.gov/35487190/
Dr. Longo's research on fasting mimicking diet and cancer: https://pubmed.ncbi.nlm.nih.gov/34707136/
Full list of Dr. Longo's studies: https://pubmed.ncbi.nlm.nih.gov/?term=Longo%2C+Valter%5BAuthor%5D&sort=date
Research on MCT oil and Alzheimer's: https://alz-journals.onlinelibrary.wiley.com/doi/f...
Keto Mojo device for measuring ketones
Silkworms with spider DNA spin silk stronger than Kevlar
Story by Freethink
The study and copying of nature’s models, systems, or elements to address complex human challenges is known as “biomimetics.” Five hundred years ago, an elderly Italian polymath spent months looking at the soaring flight of birds. The result was Leonardo da Vinci’s biomimetic Codex on the Flight of Birds, one of the foundational texts in the science of aerodynamics. It’s the science that elevated the Wright Brothers and has yet to peak.
Today, biomimetics is everywhere. Shark-inspired swimming trunks, gecko-inspired adhesives, and lotus-inspired water-repellents are all taken from observing the natural world. After millions of years of evolution, nature has quite a few tricks up its sleeve. They are tricks we can learn from. And now, thanks to some spider DNA and clever genetic engineering, we have another one to add to the list.
The elusive spider silk
We’ve known for a long time that spider silk is remarkable, in ways that synthetic fibers can’t emulate. Nylon is incredibly strong (it can support a lot of force), and Kevlar is incredibly tough (it can absorb a lot of force). But neither is both strong and tough. In all artificial polymeric fibers, strength and toughness are mutually exclusive, and so we pick the material best for the job and make do.
Spider silk, a natural polymeric fiber, breaks this rule. It is somehow both strong and tough. No surprise, then, that spider silk is a source of much study.The problem, though, is that spiders are incredibly hard to cultivate — let alone farm. If you put them together, they will attack and kill each other until only one or a few survive. If you put 100 spiders in an enclosed space, they will go about an aggressive, arachnocidal Hunger Games. You need to give each its own space and boundaries, and a spider hotel is hard and costly. Silkworms, on the other hand, are peaceful and productive. They’ll hang around all day to make the silk that has been used in textiles for centuries. But silkworm silk is fragile. It has very limited use.
The elusive – and lucrative – trick, then, would be to genetically engineer a silkworm to produce spider-quality silk. So far, efforts have been fruitless. That is, until now.
We can have silkworms creating silk six times as tough as Kevlar and ten times as strong as nylon.
Spider-silkworms
Junpeng Mi and his colleagues working at Donghua University, China, used CRISPR gene-editing technology to recode the silk-creating properties of a silkworm. First, they took genes from Araneus ventricosus, an East Asian orb-weaving spider known for its strong silk. Then they placed these complex genes – genes that involve more than 100 amino acids – into silkworm egg cells. (This description fails to capture how time-consuming, technical, and laborious this was; it’s a procedure that requires hundreds of thousands of microinjections.)
This had all been done before, and this had failed before. Where Mi and his team succeeded was using a concept called “localization.” Localization involves narrowing in on a very specific location in a genome. For this experiment, the team from Donghua University developed a “minimal basic structure model” of silkworm silk, which guided the genetic modifications. They wanted to make sure they had the exactly right transgenic spider silk proteins. Mi said that combining localization with this basic structure model “represents a significant departure from previous research.” And, judging only from the results, he might be right. Their “fibers exhibited impressive tensile strength (1,299 MPa) and toughness (319 MJ/m3), surpassing Kevlar’s toughness 6-fold.”
A world of super-materials
Mi’s research represents the bursting of a barrier. It opens up hugely important avenues for future biomimetic materials. As Mi puts it, “This groundbreaking achievement effectively resolves the scientific, technical, and engineering challenges that have hindered the commercialization of spider silk, positioning it as a viable alternative to commercially synthesized fibers like nylon and contributing to the advancement of ecological civilization.”
Around 60 percent of our clothing is made from synthetic fibers like nylon, polyester, and acrylic. These plastics are useful, but often bad for the environment. They shed into our waterways and sometimes damage wildlife. The production of these fibers is a source of greenhouse gas emissions. Now, we have a “sustainable, eco-friendly high-strength and ultra-tough alternative.” We can have silkworms creating silk six times as tough as Kevlar and ten times as strong as nylon.
We shouldn’t get carried away. This isn’t going to transform the textiles industry overnight. Gene-edited silkworms are still only going to produce a comparatively small amount of silk – even if farmed in the millions. But, as Mi himself concedes, this is only the beginning. If Mi’s localization and structure-model techniques are as remarkable as they seem, then this opens up the door to a great many supermaterials.
Nature continues to inspire. We had the bird, the gecko, and the shark. Now we have the spider-silkworm. What new secrets will we unravel in the future? And in what exciting ways will it change the world?