Facial Recognition Can Reduce Racial Profiling and False Arrests
The use of face recognition technology is expanding exponentially right now.
[Editor's Note: This essay is in response to our current Big Question, which we posed to experts with different perspectives: "Do you think the use of facial recognition technology by the police or government should be banned? If so, why? If not, what limits, if any, should be placed on its use?"]
Opposing facial recognition technology has become an article of faith for civil libertarians. Many who supported the bans in cities like San Francisco and Oakland have declared the technology to be inherently racist and abusive.
The greatest danger would be to categorically oppose this technology and pretend that it will simply go away.
I have spent my career as a criminal defense attorney and a civil libertarian -- and I do not fear it. Indeed, I see it as positive so long as it is appropriately regulated and controlled.
We are living in the beginning of a biometric age, where technology uses our physical or biological characteristics for a variety of products and services. It holds great promises as well as great risks. The greatest danger, however, would be to categorically oppose this technology and pretend that it will simply go away.
This is an age driven as much by consumer as it is government demand. Living in denial may be emotionally appealing, but it will only hasten the creation of post-privacy world. If we do not address this emerging technology, movements in public will increasingly result in instant recognition and even tracking. It is the type of fish-bowl society that strips away any expectation of privacy in our interactions and associations.
The biometrics field is expanding exponentially, largely due to the popularity of consumer products using facial recognition technology (FRT) -- from the iPhone program to shopping ones that recognize customers.
But the privacy community is losing this battle because it is using the privacy rationales and doctrines forged in the earlier electronic surveillance periods. Just as generals are often accused of planning to fight the last war, civil libertarians can sometimes cling to past models despite their decreasing relevance in the current world.
I see FRT as having positive implications that are worth pursuing. When properly used, biometrics can actually enhance privacy interests and even reduce racial profiling by reducing false arrests and the warrantless "patdowns" allowed by the Supreme Court. Bans not only deny police a technology widely used by businesses, but return police to the highly flawed default of "eye balling" suspects -- a system with a considerably higher error rate than top FRT programs.
Officers are often wrong and stop a great number of suspects in the hopes of finding a wanted felon.
A study in Australia showed that passport officers who had taken photographs of subjects in ideal conditions nonetheless experienced high error rates when identifying them shortly afterward, including 14 percent false acceptance rates. Currently, officers stop suspects based on their memory from seeing a photograph days or weeks earlier. They are often wrong and stop a great number of suspects in the hopes of finding a wanted felon. The best FRT programs achieve an astonishing accuracy rate, though real-world implementation has challenges that must be addressed.
One legitimate concern raised in early studies showed higher error rates in recognitions for certain groups, particularly African American women. An MIT study finding that error rate prompted major improvements in the algorithms as well as training changes to greatly reduce the frequency of errors. The issue remains a concern, but there is nothing inherently racist in algorithms. These are a set of computer instructions that isolate and process with the parameters and conditions set by creators.
To be sure, there is room for improvement in some algorithms. Tests performed by the American Civil Liberties Union (ACLU) reportedly showed only an 80 percent accuracy rate in comparing mug shots to pictures of members of Congress when using Amazon's "Rekognition" system. It recently showed the same 80 percent rate in doing the same comparison to members of the California legislators.
However, different algorithms are available with differing levels of performance. Moreover, these products can be set with a lower discrimination level. The fact is that the top algorithms tested by the National Institute of Standards and Technology showed that their accuracy rate is greater than 99 percent.
The greatest threat of biometric technologies is to democratic values.
Assuming a top-performing algorithm is used, the result could be highly beneficial for civil liberties as opposed to the alternative of "eye balling" suspects. Consider the Boston Bombing where police declared a "containment zone" and forced families into the street with their hands in the air.
The suspect, Dzhokhar Tsarnaev, moved around Boston and was ultimately found outside the "containment zone" once authorities abandoned near martial law. He was caught on some surveillance systems but not identified. FRT can help law enforcement avoid time-consuming area searches and the questionable practice of forcing people out of their homes to physically examine them.
If we are to avoid a post-privacy world, we will have to redefine what we are trying to protect and reconceive how we hope to protect it. In my view, the greatest threat of biometric technologies is to democratic values. Authoritarian nations like China have made huge investments into FRT precisely because they know that the threat of recognition in public deters citizens from associating or interacting with protesters or dissidents. Recognition changes conduct. That chilling effect is what we have the worry about the most.
Conventional privacy doctrines do not offer much protection. The very concept of "public privacy" is treated as something of an oxymoron by courts. Public acts and associations are treated as lacking any reasonable expectation of privacy. In the same vein, the right to anonymity is not a strong avenue for protection. We are not living in an anonymous world anymore.
Consumers want products like FaceFind, which link their images with others across social media. They like "frictionless" transactions and authentications using faceprints. Despite the hyperbole in places like San Francisco, civil libertarians will not succeed in getting that cat to walk backwards.
The basis for biometric privacy protection should not be focused on anonymity, but rather obscurity. You will be increasingly subject to transparency-forcing technology, but we can legislatively mandate ways of obscuring that information. That is the objective of the Biometric Privacy Act that I have proposed in recent research. However, no such comprehensive legislation has passed through Congress.
The ability to spot fraudulent entries at airports or recognizing a felon in flight has obvious benefits for all citizens.
We also need to recognize that FRT has many beneficial uses. Biometric guns can reduce accidents and criminals' conduct. New authentications using FRT and other biometric programs could reduce identity theft.
And, yes, FRT could help protect against unnecessary police stops or false arrests. Finally, and not insignificantly, this technology could stop serious crimes, from terrorist attacks to the capturing of dangerous felons. The ability to spot fraudulent entries at airports or recognizing a felon in flight has obvious benefits for all citizens.
We can live and thrive in a biometric era. However, we will need to bring together civil libertarians with business and government experts if we are going to control this technology rather than have it control us.
[Editor's Note: Read the opposite perspective here.]
A company uses AI to fight muscle loss and unhealthy aging
In December 2022, a company called BioAge Labs published findings on a drug that worked to prevent muscular atrophy, or the loss of muscle strength and mass, in older people.
There’s a growing need to slow down the aging process. The world’s population is getting older and, according to one estimate, 80 million Americans will be 65 or older by 2040. As we age, the risk of many chronic diseases goes up, from cancer to heart disease to Alzheimer’s.
BioAge Labs, a company based in California, is using genetic data to help people stay healthy for longer. CEO Kristen Fortney was inspired by the genetics of people who live long lives and resist many age-related diseases. In 2015, she started BioAge to study them and develop drug therapies based on the company’s learnings.
The team works with special biobanks that have been collecting blood samples and health data from individuals for up to 45 years. Using artificial intelligence, BioAge is able to find the distinctive molecular features that distinguish those who have healthy longevity from those who don’t.
In December 2022, BioAge published findings on a drug that worked to prevent muscular atrophy, or the loss of muscle strength and mass, in older people. Much of the research on aging has been in worms and mice, but BioAge is focused on human data, Fortney says. “This boosts our chances of developing drugs that will be safe and effective in human patients.”
How it works
With assistance from AI, BioAge measures more than 100,000 molecules in each blood sample, looking at proteins, RNA and metabolites, or small molecules that are produced through chemical processes. The company uses many techniques to identify these molecules, some of which convert the molecules into charged atoms and then separating them according to their weight and charge. The resulting data is very complex, with many thousands of data points from patients being followed over the decades.
BioAge validates its targets by examining whether a pathway going awry is actually linked to the development of diseases, based on the company’s analysis of biobank health records and blood samples. The team uses AI and machine learning to identify these pathways, and the key proteins in the unhealthy pathways become their main drug targets. “The approach taken by BioAge is an excellent example of how we can harness the power of big data and advances in AI technology to identify new drugs and therapeutic targets,” says Lorna Harries, a professor of molecular genetics at the University of Exeter Medical School.
Martin Borch Jensen is the founder of Gordian Biotechnology, a company focused on using gene therapy to treat aging. He says BioAge’s use of AI allows them to speed up the process of finding promising drug candidates. However, it remains a challenge to separate pathologies from aspects of the natural aging process that aren’t necessarily bad. “Some of the changes are likely protective responses to things going wrong,” Jensen says. “Their data doesn’t…distinguish that so they’ll need to validate and be clever.”
Developing a drug for muscle loss
BioAge decided to focus on muscular atrophy because it affects many elderly people, making it difficult to perform everyday activities and increasing the risk of falls. Using the biobank samples, the team modeled different pathways that looked like they could improve muscle health. They found that people who had faster walking speeds, better grip strength and lived longer had higher levels of a protein called apelin.
Apelin is a peptide, or a small protein, that circulates in the blood. It is involved in the process by which exercise increases and preserves muscle mass. BioAge wondered if they could prevent muscular atrophy by increasing the amount of signaling in the apelin pathway. Instead of the long process of designing a drug, they decided to repurpose an existing drug made by another biotech company. This company, called Amgen, had explored the drug as a way to treat heart failure. It didn’t end up working for that purpose, but BioAge took note that the drug did seem to activate the apelin pathway.
BioAge tested its new, repurposed drug, BGE-105, and, in a phase 1 clinical trial, it protected subjects from getting muscular atrophy compared to a placebo group that didn’t receive the drug. Healthy volunteers over age 65 received infusions of the drug during 10 days spent in bed, as if they were on bed rest while recovering from an illness or injury; the elderly are especially vulnerable to muscle loss in this situation. The 11 people taking BGE-105 showed a 100 percent improvement in thigh circumference compared to 10 people taking the placebo. Ultrasound observations also revealed that the group taking the durg had enhanced muscle quality and a 73 percent increase in muscle thickness. One volunteer taking BGE-105 did have muscle loss compared to the the placebo group.
Heather Whitson, the director of the Duke University Centre for the study of aging and human development, says that, overall, the results are encouraging. “The clinical findings so far support the premise that AI can help us sort through enormous amounts of data and identify the most promising points for beneficial interventions.”
More studies are needed to find out which patients benefit the most and whether there are side effects. “I think further studies will answer more questions,” Whitson says, noting that BGE-105 was designed to enhance only one aspect of physiology associated with exercise, muscle strength. But exercise itself has many other benefits on mood, sleep, bones and glucose metabolism. “We don’t know whether BGE-105 will impact these other outcomes,” she says.
The future
BioAge is planning phase 2 trials for muscular atrophy in patients with obesity and those who have been hospitalized in an intensive care unit. Using the data from biobanks, they’ve also developed another drug, BGE-100, to treat chronic inflammation in the brain, a condition that can worsen with age and contributes to neurodegenerative diseases. The team is currently testing the drug in animals to assess its effects and find the right dose.
BioAge envisions that its drugs will have broader implications for health than treating any one specific disease. “Ultimately, we hope to pioneer a paradigm shift in healthcare, from treatment to prevention, by targeting the root causes of aging itself,” Fortney says. “We foresee a future where healthy longevity is within reach for all.”
How old fishing nets turn into chairs, car mats and Prada bags
A company called Aquafil is turning the fibers from fishing nets and old carpets into new threads for chairs, car mats, bikinis and Prada bags.
Discarded nylon fishing nets in the oceans are among the most harmful forms of plastic pollution. Every year, about 640,000 tons of fishing gear are left in our oceans and other water bodies to turn into death traps for marine life. London-based non-profit World Animal Protection estimates that entanglement in this “ghost gear” kills at least 136,000 seals, sea lions and large whales every year. Experts are challenged to estimate how many birds, turtles, fish and other species meet the same fate because the numbers are so high.
Since 2009, Giulio Bonazzi, the son of a small textile producer in northern Italy, has been working on a solution: an efficient recycling process for nylon. As CEO and chairman of a company called Aquafil, Bonazzi is turning the fibers from fishing nets – and old carpets – into new threads for car mats, Adidas bikinis, environmentally friendly carpets and Prada bags.
For Bonazzi, shifting to recycled nylon was a question of survival for the family business. His parents founded a textile company in 1959 in a garage in Verona, Italy. Fifteen years later, they started Aquafil to produce nylon for making raincoats, an enterprise that led to factories on three continents. But before the turn of the century, cheap products from Asia flooded the market and destroyed Europe’s textile production. When Bonazzi had finished his business studies and prepared to take over the family company, he wondered how he could produce nylon, which is usually produced from petrochemicals, in a way that was both successful and ecologically sustainable.
The question led him on an intellectual journey as he read influential books by activists such as world-renowned marine biologist Sylvia Earle and got to know Michael Braungart, who helped develop the Cradle-to-Cradle ethos of a circular economy. But the challenges of applying these ideologies to his family business were steep. Although fishing nets have become a mainstay of environmental fashion ads—and giants like Dupont and BASF have made breakthroughs in recycling nylon—no one had been able to scale up these efforts.
For ten years, Bonazzi tinkered with ideas for a proprietary recycling process. “It’s incredibly difficult because these products are not made to be recycled,” Bonazzi says. One complication is the variety of materials used in older carpets. “They are made to be beautiful, to last, to be useful. We vastly underestimated the difficulty when we started.”
Soon it became clear to Bonazzi that he needed to change the entire production process. He found a way to disintegrate old fibers with heat and pull new strings from the discarded fishing nets and carpets. In 2022, his company Aquafil produced more than 45,000 tons of Econyl, which is 100% recycled nylon, from discarded waste.
More than half of Aquafil’s recyclate is from used goods. According to the company, the recycling saves 90 percent of the CO2 emissions compared to the production of conventional nylon. That amounts to saving 57,100 tons of CO2 equivalents for every 10,000 tons of Econyl produced.
Bonazzi collects fishing nets from all over the world, including Norway and Chile—which have the world’s largest salmon productions—in addition to the Mediterranean, Turkey, India, Japan, Thailand, the Philippines, Pakistan, and New Zealand. He counts the government leadership of Seychelles as his most recent client; the island has prohibited ships from throwing away their fishing nets, creating the demand for a reliable recycler. With nearly 3,000 employees, Aquafil operates almost 40 collection and production sites in a dozen countries, including four collection sites for old carpets in the U.S., located in California and Arizona.
First, the dirty nets are gathered, washed and dried. Bonazzi explains that nets often have been treated with antifouling agents such as copper oxide. “We recycle the coating separately,” he says via Zoom from his home near Verona. “Copper oxide is a useful substance, why throw it away?”
Still, only a small percentage of Aquafil’s products are made from nets fished out of the ocean, so your new bikini may not have saved a strangled baby dolphin. “Generally, nylon recycling is a good idea,” says Christian Schiller, the CEO of Cirplus, the largest global marketplace for recyclates and plastic waste. “But contrary to what consumers think, people rarely go out to the ocean to collect ghost nets. Most are old, discarded nets collected on land. There’s nothing wrong with this, but I find it a tad misleading to label the final products as made from ‘ocean plastic,’ prompting consumers to think they’re helping to clean the oceans by buying these products.”
Aquafil gets most of its nets from aqua farms. Surprisingly, one of Aquafil’s biggest problems is finding enough waste. “I know, it’s hard to believe because waste is everywhere,” Bonazzi says. “But we need to find it in reliable quantity and quality.” He has invested millions in establishing reliable logistics to source the fishing nets. Then the nets get shredded into granules that can be turned into car mats for the new Hyundai Ioniq 5 or a Gucci swimsuit.
The process works similarly with carpets. In the U.S. alone, 3.5 billion pounds of carpet are discarded in landfills every year, and less than 3 percent are currently recycled. Aquafil has built a recycling plant in Phoenix to help divert 12,500 tons of carpets from the landfill every year. The carpets are shredded and deconstructed into three components: fillers such as calcium carbonate will be reused in the cement industry, synthetic fibers like polypropylene can be used for engineering plastics, and nylon. Only the pelletized nylon gets shipped back to Europe for the production of Econyl. “We ship only what’s necessary,” Bonazzi says. Nearly 50 percent of his nylon in Italy and Slovenia is produced from recyclate, and he hopes to increase the percentage to two-thirds in the next two years.
His clients include Interface, the leading world pioneer for sustainable flooring, and many other carpet producers plus more than 2500 fashion labels, including Gucci, Prada, Patagonia, Louis Vuitton, Adidas and Stella McCartney. “Stella McCartney just introduced a parka that’s made 100 percent from Econyl,” Bonazzi says. “We’re also in a lot of sportswear because Nylon is a good fabric for swimwear and for yoga clothes.” Next, he’s looking into sunglasses and chairs made with Econyl - for instance, the flexible ergonomic noho chair, designed by New Zealand company Formway.
“When I look at a landfill, I see a gold mine," Bonazzi says.
“Bonazzi decided many years ago to invest in the production of recycled nylon though industry giants halted similar plans after losing large investments,” says Anika Herrmann, vice president of the German Greentech-competitor Camm Solutions, which creates bio-based polymers from cane sugar and other ag waste. “We need role models like Bonazzi who create sustainable solutions with courage and a pioneering spirit. Like Aquafil, we count on strategic partnerships to enable fast upscaling along the entire production chain.”
Bonazzi’s recycled nylon is still five to 10 percent more expensive than conventionally produced material. However, brands are increasingly bending to the pressure of eco-conscious consumers who demand sustainable fashion. What helped Bonazzi was the recent rise of oil prices and the pressure on industries to reduce their carbon footprint. Now Bonazzi says, “When I look at a landfill, I see a gold mine.”
Ideally, the manufacturers take the products back when the client is done with it, and because the nylon can theoretically be reused nearly infinitely, the chair or bikini could be made into another chair or bikini. “But honestly,” Bonazzi half-jokes, “if someone returns a McCartney parka to me, I’ll just resell it because it’s so expensive.”
The next step: Bonazzi wants to reshape the entire nylon industry by pivoting from post-consumer nylon to plant-based nylon. In 2017, he began producing “nylon-6,” together with Genomatica in San Diego. The process uses sugar instead of petroleum. “The idea is to make the very same molecule from sugar, not from oil,” he says. The demonstration plant in Ljubljana, Slovenia, has already produced several hundred tons of nylon, and Genomatica is collaborating with Lululemon to produce plant-based yoga wear.
Bonazzi acknowledges that his company needs a few more years before the technology is ready to meet his ultimate goal, producing only recyclable products with no petrochemicals, low emissions and zero waste on an industrial scale. “Recycling is not enough,” he says. “You also need to produce the primary material in a sustainable way, with a low carbon footprint.”