Ice Lounge Media

Ice Lounge Media

Imagine sitting down with an AI model for a spoken two-hour interview. A friendly voice guides you through a conversation that ranges from your childhood, your formative memories, and your career to your thoughts on immigration policy. Not long after, a virtual replica of you is able to embody your values and preferences with stunning accuracy.

That’s now possible, according to a new paper from a team including researchers from Stanford and Google DeepMind, which has been published on arXiv and has not yet been peer-reviewed. 

Led by Joon Sung Park, a Stanford PhD student in computer science, the team recruited 1,000 people who varied by age, gender, race, region, education, and political ideology. They were paid up to $100 for their participation. From interviews with them, the team created agent replicas of those individuals. As a test of how well the agents mimicked their human counterparts, participants did a series of personality tests, social surveys, and logic games, twice each, two weeks apart; then the agents completed the same exercises. The results were 85% similar. 

“If you can have a bunch of small ‘yous’ running around and actually making the decisions that you would have made—that, I think, is ultimately the future,” Joon says. 

In the paper the replicas are called simulation agents, and the impetus for creating them is to make it easier for researchers in social sciences and other fields to conduct studies that would be expensive, impractical, or unethical to do with real human subjects. If you can create AI models that behave like real people, the thinking goes, you can use them to test everything from how well interventions on social media combat misinformation to what behaviors cause traffic jams. 

Such simulation agents are slightly different from the agents that are dominating the work of leading AI companies today. Called tool-based agents, those are models built to do things for you, not converse with you. For example, they might enter data, retrieve information you have stored somewhere, or—someday—book travel for you and schedule appointments. Salesforce announced its own tool-based agents in September, followed by Anthropic in October, and OpenAI is planning to release some in January, according to Bloomberg

The two types of agents are different but share common ground. Research on simulation agents, like the ones in this paper, is likely to lead to stronger AI agents overall, says John Horton, an associate professor of information technologies at the MIT Sloan School of Management, who founded a company to conduct research using AI-simulated participants. 

“This paper is showing how you can do a kind of hybrid: use real humans to generate personas which can then be used programmatically/in-simulation in ways you could not with real humans,” he told MIT Technology Review in an email. 

The research comes with caveats, not the least of which is the danger that it points to. Just as image generation technology has made it easy to create harmful deepfakes of people without their consent, any agent generation technology raises questions about the ease with which people can build tools to personify others online, saying or authorizing things they didn’t intend to say. 

The evaluation methods the team used to test how well the AI agents replicated their corresponding humans were also fairly basic. These included the General Social Survey—which collects information on one’s demographics, happiness, behaviors, and more—and assessments of the Big Five personality traits: openness to experience, conscientiousness, extroversion, agreeableness, and neuroticism. Such tests are commonly used in social science research but don’t pretend to capture all the unique details that make us ourselves. The AI agents were also worse at replicating the humans in behavioral tests like the “dictator game,” which is meant to illuminate how participants consider values such as fairness. 

To build an AI agent that replicates people well, the researchers needed ways to distill our uniqueness into language AI models can understand. They chose qualitative interviews to do just that, Joon says. He says he was convinced that interviews are the most efficient way to learn about someone after he appeared on countless podcasts following a 2023 paper that he wrote on generative agents, which sparked a huge amount of interest in the field. “I would go on maybe a two-hour podcast podcast interview, and after the interview, I felt like, wow, people know a lot about me now,” he says. “Two hours can be very powerful.”

These interviews can also reveal idiosyncrasies that are less likely to show up on a survey. “Imagine somebody just had cancer but was finally cured last year. That’s very unique information about you that says a lot about how you might behave and think about things,” he says. It would be difficult to craft survey questions that elicit these sorts of memories and responses. 

Interviews aren’t the only option, though. Companies that offer to make “digital twins” of users, like Tavus, can have their AI models ingest customer emails or other data. It tends to take a pretty large data set to replicate someone’s personality that way, Tavus CEO Hassaan Raza told me, but this new paper suggests a more efficient route. 

“What was really cool here is that they show you might not need that much information,” Raza says, adding that his company will experiment with the approach. “How about you just talk to an AI interviewer for 30 minutes today, 30 minutes tomorrow? And then we use that to construct this digital twin of you.”

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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Inside Clear’s ambitions to manage your identity beyond the airport 

Clear Secure is the most visible biometric identity company in the United States. Best known for its line-jumping service in airports, it’s also popping up at  sports arenas and stadiums all over the country. You can also use its identity verification platform to rent tools at Home Depot, put your profile in front of recruiters on LinkedIn, and, as of this month, verify your identity as a rider on Uber.

And soon enough, if Clear has its way, it may also be in your favorite retailer, bank, and even doctor’s office—or anywhere else that you currently have to pull out a wallet (or wait in line). 

While the company has been building toward this sweeping vision for years, it now seems its time has finally come. But as biometrics go mainstream, what—and who—bears the cost? Read the full story.  

—Eileen Guo

LinkedIn Live: Facial verification tech promises a frictionless future. But at what cost?

Do you use your face to unlock your phone, or speed through airport security? As biometrics companies move into more and more spaces, where else would you use this technology? The trade off seems simple: you scan your face, you get a frictionless future. But is it really? Join MIT Technology Review’s features and investigations team for a LinkedIn Live this Thursday, November 21, about the rise of facial verification tech and what it means to give up your face. Register for free.

Who’s to blame for climate change? It’s surprisingly complicated.

Once again, global greenhouse-gas emissions are projected to hit a new high in 2024. 

In this time of shifting political landscapes and ongoing international negotiations, many are quick to blame one country or another for an outsize role in causing climate change.

But assigning responsibility is complicated. These three visualizations help explain why.

—Casey Crownhart

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The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 AI can now translate your voice in real-time during meetings
It’s part of Microsoft’s drive to push more AI into its products, but how well it works in the wild remains to be seen. (WP $)
Apple is having less success on that front, at least if its AI notification summaries are anything to go by. (The Atlantic $)

2 Anyone can buy data tracking US soldiers in Germany 
And the Pentagon is powerless to stop it.(Wired $)
It’s shockingly easy to buy sensitive data about US military personnel. (MIT Technology Review)

3 Bluesky now has over 20 million users 📈
Its user base has tripled in the last three months. (Engadget)
Truth Social, on the other hand, is not doing quite so well. (WP $)
+ The rise of Bluesky, and the splintering of social. (MIT Technology Review)

4 How Google created a culture of concealment 
It’s been preparing for antitrust action for over a decade, enforcing a policy where employees delete messages by default. (NYT $)
+ The company reacted angrily to reports it may be forced to sell Chrome. (BBC)

5 Project 2025 is already infiltrating the Trump administration 
Despite repeated denials, it’s clearly a blueprint for his next term. (Vox)
A hacker reportedly gained access to damaging testimonies about Matt Gaetz, his pick to be attorney general. (NYT $)

6 Quantum computers hit a major milestone for error-free calculation
This is a crucial part of making them useful for real-world tasks. (New Scientist $)

7 Technology is changing political speech
Slogans are becoming less effective. Now it’s more about saying different things to different audiences. (New Yorker $)

8 Lab-grown foie gras, anyone?
This could be the cultivated meat industry’s future: as a luxury product for the few. (Wired $)

9 Niantic is using Pokémon Go player data to build an AI navigation system
If it works, it could unlock some amazing capabilities in AR, robotics and beyond. (404 Media)

10 Minecraft is expanding into the real world
It has struck a $110 million deal with one of the world’s biggest theme park operators. (The Guardian)

Quote of the day

“Nobody believes that these cables were severed by accident.”

—Germany’s defense minister Boris Pistorius, tells reporters that the severing of two fiber-optic cables in the Baltic Sea was a deliberate act of sabotage, the New York Times reports. 

 The big story

Are we alone in the universe?

a road leads to a sky filled with orbiting cubes and glowing lights

ARIEL DAVIS

November 2023

The quest to determine if life is out there has gained greater scientific footing over the past 50 years. Back then, astronomers had yet to spot a single planet outside our solar system. Now we know the galaxy is teeming with a diversity of worlds.

We’re getting closer than ever before to learning how common living worlds like ours actually are. New tools, including artificial intelligence, could help scientists look past their preconceived notions of what constitutes life. Read the full story.

—Adam Mann

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or tweet ’em at me.)

+ How to not only survive but thrive during the winter.
+ Fancy working from somewhere new? Here are some of the best cities for a workcation. 
+ Want to see David Bowie imitating Mick Jagger? Of course you do
+ It’s an old(ish) joke but still funny.

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Once again, global greenhouse-gas emissions are projected to hit a new high in 2024. 

In this time of shifting political landscapes and ongoing international negotiations, many are quick to blame one country or another for an outsize role in causing climate change.

But assigning responsibility is complicated. These three visualizations help explain why and provide some perspective about the world’s biggest polluters.

Greenhouse-gas emissions from fossil fuels and industry reached 37.4 billion metric tons of carbon dioxide in 2024, according to projections from the Global Carbon Budget, an annual emissions report released last week. That’s a 0.8% increase over last year.

Breaking things down by country, China is far and away the single biggest polluter today, a distinction it has held since 2006. The country currently emits roughly twice as much greenhouse gas as any other nation. The power sector is its single greatest source of emissions as the grid is heavily dependent on coal, the most polluting fossil fuel.

The US is the world’s second-biggest polluter, followed by India. Combined emissions from the 27 nations that make up the European Union are next, followed by Russia and Japan.

Considering a country’s current emissions doesn’t give the whole picture of its climate responsibility, though. Carbon dioxide is stable in the atmosphere for hundreds of years. That means greenhouse gases from the first coal power plant, which opened in the late 19th century, are still having a warming effect on the planet today.

Adding up each country’s emissions over the course of its history reveals that the US has the greatest historical contribution—the country is responsible for about 24% of all the climate pollution released into the atmosphere as of 2023. While it’s the biggest polluter today, China comes in second in terms of historical emissions, at 14%.

If the EU’s member states are totaled as one entity, the group is among the top historical contributors as well. According to an analysis published November 19 by the website Carbon Brief, China passed EU member states in terms of historical emissions in 2023 for the first time. 

China could catch up with the West in the coming decades, as its emissions are significant and still growing, while the US and EU are seeing moderate declines.

Even then, though, there’s another factor to consider: population. Dividing a country’s total emissions by its population reveals how the average individual in each nation is contributing to climate change today. 

Countries with smaller populations and economies that are heavily reliant on oil and gas tend to top this list, including Saudi Arabia, Bahrain, and the United Arab Emirates.

Among the larger nations, Australia has the highest per capita emissions from fossil fuels, with the US and Canada close behind. Meanwhile, other countries that have high total emissions are farther down the list when normalized by population: China’s per capita emissions are just over half that of the US, while India’s is a small fraction.

Understanding the complicated picture of global emissions is crucial, especially during ongoing negotiations (including the current meeting at COP29 in Baku, Azerbaijan) over how to help developing nations pay for efforts to combat climate change. 

Looking at current emissions, one might expect the biggest emitter, China, to contribute more than any other country to climate finance. But considering historical contributions, per capita emissions, and details about national economies, other nations like the US, UK, and members of the EU emerge as those experts tend to say should feature prominently in the talks. 

What is clear is that when it comes to the emissions blame game, it’s more complicated than just pointing at today’s biggest polluters. Ultimately, addressing climate change will require everyone to get on board—we all share an atmosphere, and we’re all going to continue feeling the effects of a changing climate. 


Notes on data methodology: 

  • Emissions data is from the Global Carbon Project, which estimates carbon emissions based on energy use. Territorial emissions take into account energy and some industry, but don’t include land use emissions. 
  • Data from the European Union is the sum of its current 27 member states. The bloc is represented together because the EU generally negotiates together on the international stage. 
  • Historical emissions for some countries are disaggregated from former borders, including the former USSR and Yugoslavia. 
  • The per capita emissions map uses official World Bank boundaries, with the exception of Taiwan, which has separate emissions data in the Global Carbon Project. 
  • Western Sahara’s energy data are reported by Morocco, so its emissions are included in that total. Per capita emissions for Morocco are also used for Western Sahara on the map. 
  • More detailed information about the Global Carbon Project methods (including the particulars on how territorial emissions are broken down) is available here.
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If you’ve ever been through a large US airport, you’re probably at least vaguely aware of Clear. Maybe your interest (or irritation) has been piqued by the pods before the security checkpoints, the attendants in navy blue vests who usher clients to the front of the security line (perhaps just ahead of you), and the sometimes pushy sales pitches to sign up and skip ahead yourself. After all, is there anything people dislike more than waiting in line?

Its position in airports has made Clear Secure, with its roughly $3.75 billion market capitalization, the most visible biometric identity company in the United States. Over the past two decades, Clear has put more than 100 lanes in 58 airports across the US, and in the past decade it has entered 17 sports arenas and stadiums, from San Jose to Denver to Atlanta. Now you can also use its identity verification platform to rent tools at Home Depot, put your profile in front of recruiters on LinkedIn, and, as of this month, verify your identity as a rider on Uber.

And soon enough, if Clear has its way, it may also be in your favorite retailer, bank, and even doctor’s office—or anywhere else that you currently have to pull out a wallet (or, of course, wait in line). The company that has helped millions of vetted members skip airport security lines is now working to expand its “frictionless,” “face-first” line-cutting service from the airport to just about everywhere, online and off, by promising to verify that you are who you say you are and you are where you are supposed to be. In doing so, CEO Caryn Seidman Becker told investors in an earnings call earlier this year, it has designs on being no less than the “identity layer of the internet,” as well as the “universal identity platform” of the physical world.

All you have to do is show up—and show your face. 

This is enabled by biometric technology, but Clear is far more than just a biometrics company. As Seidman Becker has told investors, “biometrics aren’t the product … they are a feature.” Or, as she put it in a 2022 podcast interview, Clear is ultimately a platform company “no different than Amazon or Apple”—with dreams, she added, “of making experiences safer and easier, of giving people back their time, of giving people control, of using technology for … frictionless experiences.” (Clear did not make Seidman Becker available for an interview.)

While the company has been building toward this sweeping vision for years, it now seems the time has finally come. A confluence of factors is currently accelerating the adoption of—even necessity for—identity verification technologies: increasingly sophisticated fraud, supercharged by artificial intelligence that is making it harder to distinguish who or what is real; data breaches that seem to occur on a near daily basis; consumers who are more concerned about data privacy and security; and the lingering effects of the pandemic’s push toward “contactless” experiences. 

All of this is creating a new urgency around ways to verify information, especially our identities—and, in turn, generating a massive opportunity for Clear. For years, Seidman Becker has been predicting that biometrics will go mainstream. 

But now that biometrics have, arguably, gone mainstream, what—and who—bears the cost? Because convenience, even if chosen by only some of us, leaves all of us wrestling with the effects. Some critics warn that not everyone will benefit from a world where identity is routed through Clear—maybe because it’s too expensive, and maybe because biometric technologies are often less effective at identifying people of color, people with disabilities, or those whose gender identity may not match what official documents say.

What’s more, says Kaliya Young, an identity expert who has advised the US government, having a single private company “disintermediating” our biometric data—especially facial data—is the wrong “architecture” to manage identity. “It seems they are trying to create a system like login with Google, but for everything in real life,” Young warns. While the single sign-on option that Google (or Facebook or Apple) provides for websites and apps may make life easy, it also poses greater security and privacy risks by putting both our personal data and the keys to it in the hands of a single profit-driven entity: “We’re basically selling our identity soul to a private company, who’s then going to be the gatekeeper … everywhere one goes.” 

Though Clear remains far less well known than Google, more than 27 million people have already helped it become that very gatekeeper—and “one of the largest private repositories of identities on the planet,” as Nicholas Peddy, Clear’s chief technology officer, put it in an interview with MIT Technology Review this summer. 

With Clear well on the way to realizing its plan for a frictionless future, it’s time to try to understand both how we got here and what we have (been) signed up for.

A new frontier in identity management

Imagine this: On a Friday morning in the near future, you are rushing to get through your to-do list before a weekend trip to New York. 

In the morning, you apply for a new job on LinkedIn. During lunch, assured that recruiters are seeing your professional profile because it’s been verified by Clear, you pop out to Home Depot, confirm your identity with a selfie, and rent a power drill for a quick bathroom repair. Then, in the midafternoon, you drive to your doctor’s office; having already verified your identity—prompted by a text message sent a few days earlier—you confirm your arrival with a selfie at a Clear kiosk. Before you go to bed, you plan your morning trip to the airport and set an alarm—but not too early, because you know that with Clear, you can quickly drop your bags and breeze through security.

Once you’re in New York, you head to Barclays Center, where you’ll be seeing your favorite singer; you skip the long queue out front to hop in the fast-track Clear line. It’s late when the show is over, so you grab an Uber home and barely need to wait for a driver, who feels more comfortable thanks to your verified rider profile. 

At no point did you pull out your driver’s license or fill out repetitive paperwork. All that was already on file. Everything was easy; everything was frictionless

More than 27 million people have already helped Clear become “one of the largest private repositories of identities on the planet.”

This, at least, is the world that Clear is actively building toward. 

Part of Clear’s power, Seidman Becker often says, is that it can wholly replace our wallets: our credit cards, driver’s licenses, health insurance cards, perhaps even building key fobs. But you can’t just suddenly be all the cards you carry. For Clear to link your digital identity to your real-world self, you must first give up a bit of personal data—specifically, your biometric data. 

Biometrics refers to the unique physical and behavioral characteristics—faces, fingerprints, irises, voices, and gaits, among others—that identify each of us as individuals. For better or worse, they typically remain stable during our lifetimes. 

Relying on biometrics for identification can be convenient, since people are apt to misplace a wallet or forget the answer to a security question. But on the other hand, if someone manages to compromise a database of biometric information, that convenience can become dangerous: We cannot easily change our face or fingerprint to secure our data again, the way we could change a compromised password. 

On a practical level, there are generally two ways that biometrics are used to identify individuals. The first, generally referred to “one-to-many” or “one-to-n” matching, compares one person’s biometric identifier with a database full of them. This is sometimes associated with a stereotypical idea of dystopian surveillance in which real-time facial recognition from live video could allow authorities to identify anyone walking down the street. The other, “one-to-one” matching, is the basis for Clear; it compares a biometric identifier (like the face of a live person standing before an airport agent) with a previously recorded biometric template (such as a passport photo) to verify that they match. This is usually done with the individual’s knowledge and consent, and it arguably poses a lower privacy risk. Often, one-to-one matching includes a layer of document verification, like checking that your passport is legitimate and matches a photograph you used to register with the system.

The US Congress urgently saw the need for better identity management following the September 11 terrorist attacks; 18 of the 19 hijackers used fake identity documents to board their flights. In the aftermath, the newly created Transportation Security Administration (TSA) implemented security processes that slowed down air travel significantly. Part of the problem was that “everybody was just treated the same at airports,” recalls the serial media entrepreneur Steven Brill—including, famously, former vice president Al Gore. “It sounded awfully democratic … but in terms of basic risk management and allocation of resources, it just didn’t make any sense.” 

Congress agreed, authorizing the TSA to create a program that would allow people who passed background checks to be recognized as trusted travelers and skip some of the scrutiny at the airport. 

A computer screen showing a biometric iris scan, part of Clear's security program in airports.
In 2007, San Francisco’s then mayor, Gavin Newsom, had his irises scanned by Clear at San Francisco International Airport.
DAVID PAUL MORRIS/GETTY

In 2003, Brill teamed up with Ajay Amlani, a technology entrepreneur and former adviser to the Department of Homeland Security, and founded a company called Verified Identity Pass (VIP) to provide biometric identity verification in the TSA’s new program. “The vision,” says Amlani, “was a unified fast lane—similar to a toll lane.”

It appeared to be a win-win solution. The TSA had a private-sector partner for its registered-traveler program; VIP had a revenue stream from user fees; airports got a cut of the fees in exchange for leasing VIP space; and initial members—typically frequent business travelers—were happy to cut down on airport wait times. 

By 2005, VIP had launched in its first airport, Orlando International in Florida. Members—initially paying $80—received “Clear cards” that contained a cryptographic representation of their fingerprint, iris scans, and a photo of their face taken at enrollment. They could use those cards at the airport to be escorted to the front of the security lines.

The defense contracting giant Lockheed Martin, which already provided biometric capabilities to the US Department of Defense and the FBI, was responsible for deploying and providing technology for VIP’s system, with additional technical expertise from Oracle and others. This left VIP to “focus on marketing, pricing, branding, customer service, and consumer privacy policies,” as the president of Lockheed Transportation and Security Solutions, Don Antonucci, said at the time. 

By 2009, nearly 200,000 people had joined. The company had received $116 million in investments and signed contracts with about 20 airports. It all seemed so promising—if VIP had not already inadvertently revealed the risks inherent in a system built on sensitive personal data.

A lost laptop and a big opportunity

From the beginning, there were concerns about the implications of VIP’s Clear card for privacy, civil liberty, and equity, as well as questions about its effectiveness at actually stopping future terrorist attacks. Advocacy groups like the Electronic Privacy Information Center (EPIC) warned that the biometrics-based system would result in a surveillance infrastructure built on sensitive personal information, but data from the Pew Research Center shows that a majority of the public at the time felt that it was generally necessary to sacrifice some civil liberties in the name of safety.

Then a security lapse sent the whole operation crumbling. 

In the summer of 2008, VIP reported that an unencrypted company laptop containing addresses, birthdays, and driver’s license and passport numbers of 33,000 applicants had gone missing from an office at San Francisco International Airport (SFO)—even though TSA’s security protocol required it to encrypt all laptops holding personal data. 

a hand reaches into drawers containing sensitive personal data from behind the user's profile image

NEIL WEBB

The laptop was found about two weeks later and the company said no data was compromised. But it was still a mess for VIP. Months later, investors pushed Brill out, and associated costs led the company to declare bankruptcy and close the following year. 

Disgruntled users filed a class action lawsuit against VIP to recoup membership fees and “punitive damages.” Some users were upset they had recently renewed their subscriptions, and others worried about what would happen to their personal information. A judge temporarily prevented the company from selling user data, but the decision didn’t hold. 

Seidman Becker and her longtime business partner Ken Cornick, both hedge fund managers, saw an opportunity. In 2010, they bought VIP—and its user data—in a bankruptcy sale for just under $6 million and registered a new company called Alclear. “I was a big believer in biometrics,” Seidman Becker told the tech journalists Kara Swisher and Lauren Goode in 2017. “I wanted to build something that made the world a better place, and Clear was that platform.” 

Initially, the new Clear followed closely in the footsteps of its predecessor: Lockheed Martin transferred the members’ information to the new company, which had acquired VIP’s hardware and continued to use Clear cards to hold members’ biometrics.

After the relaunch, Clear also started building partnerships with other companies in the travel industry—including American Express, United Airlines, Alaska Airlines, Delta Airlines, and Hertz Rental Cars—to bundle its service for free or at a discount. (Clear declined to specify how many of its users have such discounts, but in earnings calls the company has stressed its efforts to reduce the number of members paying reduced rates.)

By 2014, improvements in internet latency and biometric processing speeds allowed Clear to eliminate the cards and migrate to a server-based system—without compromising data security, the company says. Clear emphasizes that it meets industry standards for keeping data secure, with methods including encryption, firewalls, and regular penetration testing by both internal and external teams. The company says it also maintains “locked boxes” around data relating to air travelers. 

Still, the reality is that every database of this kind is ultimately a target, and “almost every day there’s a massive breach or hack,” says Chris Gilliard, a privacy and surveillance researcher who was recently named co-director of the Critical Internet Studies Institute. Over the years, even apparently well-protected biometric information has been compromised. Last year, for instance, a data breach at the genetic testing company 23andMe exposed sensitive information—including geographic locations, birth years, family trees, and user-uploaded photos—from nearly 7 million customers. 

This is what Young, who helped facilitate the creation of the open-source identity management standards Open ID Connect and OAuth, means when she says that Clear has the wrong “architecture” for managing digital identity; it’s too much of a risk to keep our digital identities in a central database, cryptographically protected or not. She and many other identity and privacy experts believe that the most privacy-protecting way to manage digital identity is to “use credentials, like a mobile driver’s license, stored on people’s devices in digital wallets,“ she says. “These digital credentials can have biometrics, but the biometrics in a central database are not being pinged for day to day use.”

But it’s not just data that’s potentially vulnerable. In 2022 and 2023, Clear faced three high-profile security incidents in airports, including one in which a passenger successfully got through the company’s checks using a boarding pass found in the trash. In another, a traveler in Alabama used someone else’s ID to register for Clear and, later, to successfully pass initial security checks; he was discovered only when he tried to bring ammunition through a subsequent checkpoint. 

This spurred an investigation by the TSA, which turned up more alarming information: Nearly 50,000 photos used by Clear to enroll customers were flagged as “non-matches” by the company’s facial recognition software. Some photos didn’t even contain full faces, according to Bloomberg. (In a press release after the incident, the company refuted the reporting, describing it as “a single human error—having nothing to do with our technology” and stating that “the images in question were not relied upon during the secure, multi-layered enrollment process.”) 

“How do you get to be the one?”

When I spoke to Brill this spring, he told me he’d always envisioned that Clear would expand far beyond the airport. “The idea I had was that once you had a trusted identity, you would potentially be able to use it for a lot of different things,” he said, but “the trick is to get something that is universally accepted. And that’s the battle that Clear and anybody else has to fight, which is: How do you get to be the one?”

Goode Intelligence, a market research firm that focuses on the booming identity space, estimates that by 2029, there will be 1.5 billion digital identity wallets around the world—with use for travel leading the way and generating an estimated $4.6 billion in revenue. Clear is just one player, and certainly not the biggest. ID.me, for instance, provides similar face-based identity verification and has over 130 million users, dwarfing Clear’s roughly 27 million. It’s also already in use by numerous US federal and state agencies, including the IRS. 

The reality is that every database of this kind is ultimately a target, and “almost every day there’s a massive breach or hack.”

But as Goode Intelligence CEO Alan Goode tells me, Clear’s early-mover advantage, particularly in the US, “puts it in a good space within North America … [to] be more pervasive”—or to become what Brill called “the one” that is most closely stitched into people’s daily lives. 

Clear began growing beyond travel in 2015, when it started offering biometric fast-pass access to what was then AT&T Park in San Francisco. Stadiums across California, Colorado, and Washington, and in major cities in other states, soon followed. Fans can simply download the free Clear app and scan the QR code to bypass normal lines in favor of designated Clear lanes. For a time, Clear also promoted its biometric payment systems at some venues, including two in Seattle, which could include built-in age verification. It even partnered with Budweiser for a “Bud Now” machine that used your fingerprint to verify your identity, age, and payment. (These payment programs, which a Clear representative called “pilots” in an email, have since ended; representatives for the Seattle Mariners and Seahawks did not respond to multiple requests for comment on why.) Clear’s programs for expedited event access have been popular enough to drive greater user growth than its paid airport service, according to numbers provided by the company. 

Then came the pandemic, hitting Clear (and the entire travel industry) hard. But the crisis for Clear’s primary business actually accelerated its move into new spaces with “Health Pass,” which allowed organizations to confirm the health status of employees, residents, students, and visitors who sought access to a physical space. Users could upload vaccination cards to the Health Pass section in the Clear mobile app; the program was adopted by nearly 70 partners in 110 unique locations, including NFL stadiums, the Mariners’ T-Mobile Park, and the 9/11 Memorial Museum. 

Demand for vaccine verification eventually slowed, and Health Pass shut down in March 2024. But as Jason Sherwin, Clear’s senior director of health-care business development, said in a podcast interview earlier this year, it was the company’s “first foray into health care”—the business line that currently represents its “primary focus across everything we’re doing outside of the airport.” Today, Clear kiosks for patient sign-ins are being piloted at Georgia’s Wellstar Health Systems, in conjunction with one of the largest providers of electronic health records in the United States: Epic (which is unrelated to the privacy nonprofit). 

What’s more, Health Pass enabled Clear to expand at a time when the survival of travel-focused businesses wasn’t guaranteed. In November 2020, Clear had roughly 5 million members; today, that number has grown fivefold. The company went public in 2021 and has experienced double-digit revenue growth annually. 

These doctor’s office sign-ins, in which the system verifies patient identity via a selfie, rely on what’s called Clear Verified, a platform the company has rolled out over the past several years that allows partners (health-care systems, as well as brick-and-mortar retailers, hotels, and online platforms) to integrate Clear’s identity checks into their own user-verification processes. It again seems like a win-win situation: Clear gets more users and a fee from companies using the platform, while companies confirm customers’ identity and information, and customers, in theory, get that valuable frictionless experience. One high-profile partnership, with LinkedIn, was announced last year: “We know authenticity matters and we want the people, companies and jobs you engage with everyday to be real and trusted,” Oscar Rodriguez, LinkedIn’s head of trust and privacy, said in a press release. 

All this comes together to create the foundation for what is Clear’s biggest advantage today: its network. The company’s executives often speak about its “embedded” users across various services and platforms, as well as its “ecosystem,” meaning the venues where it is used. As Peddy explains, the value proposition for Clear today is not necessarily any particular technology or biometric algorithm, but how it all comes together—and can work universally. Clear would be “wherever our consumers need us to be,” he says—it would “sort of just be this ubiquitous thing that everybody has.”

Seidman-Becker with the gavel raised above her head next to the opening bell on the floor of the stock exchange with NYSE Group president Stacey Cunningham clapping on the right side of the frame
Clear CEO Caryn Seidman Becker (left) rings the bell at the New York Stock Exchange in 2021.
NYSE VIA TWITTER

A prospectus to investors from the company’s IPO makes the pitch simple: “We believe Clear enables our partners to capture not just a greater share of their customers’ wallet, but a greater share of their overall lives.” 

The more Clear is able to reach into customers’ lives, the more valuable customer data it can collect. All user interactions and experiences can be tracked, the company’s privacy policy explains. While the policy states that Clear will not sell data and will never share biometric or health information without “express consent,” it also lays out the non-health and non-biometric data that it collects and can use for consumer research and marketing. This includes members’ demographic details, a record of every use of Clear’s various products, and even digital images and videos of the user. Documents obtained by OneZero offer some further detail into what Clear has at least considered doing with customer data: David Gershgorn wrote about a 2015 presentation to representatives from Los Angeles International Airport, titled “Identity Dashboard—Valuable Marketing Data,” which “showed off” what the company had collected, including the number of sports games users had attended and with whom, which credit cards they had, their favorite airlines and top destinations, and how often they flew first class or economy. 

Clear representatives emphasized to MIT Technology Review that the company “does not share or sell information without consent,” though they “had nothing to add” in response to a question about whether Clear can or does aggregate data to derive its own marketing insights, a business model popularized by Facebook. “At Clear, privacy and security are job one,” spokesperson Ricardo Quinto wrote in an email. “We are opt-in. We never sell or share our members’ information and utilize a multilayered, best-in-class infosec system that meets the highest standards and compliance requirements.” 

Nevertheless, this influx of customer data is not just good for business; it’s risky for customers. It creates “another attack surface,” Gilliard warns. “This makes us less safe, not more, as a consistent identifier across your entire public and private life is the dream of every hacker, bad actor, and authoritarian.”

A face-based future for some

Today, Clear is in the middle of another major change: replacing its use of iris scans and fingerprints with facial verification in airports—part of “a TSA-required upgrade in identity verification,” a TSA spokesperson wrote in an email to MIT Technology Review

For a long time, facial recognition technology “for the highest security purposes” was “not ready for prime time,” Seidman Becker told Swisher and Goode back in 2017. It wasn’t operating with “five nines,” she added—that is, “99.999% from a matching and an accuracy perspective.” But today, facial recognition has “significantly improved” and the company has invested “in enhancing image quality through improved capture, focus, and illumination,” according to Quinto.

 Clear says switching to facial images in airports will also further decrease friction, enabling travelers to verify their identity so effortlessly it’s “almost like you don’t really break stride,” Peddy says. “You walk up, you scan your face. You walk straight to the TSA.” 

The move is part of a broader shift toward facial recognition technology in US travel, bringing the country in line with practices at many international airports. The TSA began expanding facial identification from a few pilot programs this year, while airlines including Delta and United are also introducing face-based boarding, baggage drops, and even lounge access. And the International Air Transport Association, a trade group for the airline industry, is rolling out a “contactless travel” process that will allow passengers to check in, drop off their bags, and board their flights—all without showing either passports or tickets, just their faces. 

a crowd of people with their faces obscured by a bright glow

NEIL WEBB

Privacy experts worry that relying on faces for identity verification is even riskier than other biometric methods. After all, “it’s a lot easier to scan people’s faces passively than it is to scan irises or take fingerprints,” Senator Jeff Merkley of Oregon, an outspoken critic of government surveillance and of the TSA’s plans to employ facial verification at airports, said in an email. The point is that once a database of faces is built, it is potentially far more useful for surveillance purposes than, say, fingerprints. “Everyone who values privacy, freedom, and civil rights should be concerned about the increasing, unchecked use of facial recognition technology by corporations and the federal government,” Merkley wrote.

Even if Clear is not in the business of surveillance today, it could, theoretically, pivot or go bankrupt and (again) sell off its parts, including user data. Jeramie Scott, senior counsel and director of the Project on Surveillance Oversight at EPIC, says that ultimately, the “lack of federal [privacy] regulation” means that we’re just taking the promises of companies like Clear at face value: “Whatever they say about how they implement facial recognition today does not mean that that’s how they’ll be implementing facial recognition tomorrow.” 

Making this particular scenario potentially more concerning is that the images stored by this private company are “generally going to be much higher quality” than those collected by scraping the internet—which Albert Fox Cahn, the executive director of the Surveillance Technology Oversight Project (STOP), says would make its data far more useful for surveillance than that held by more controversial facial recognition companies like Clearview AI. 

Even a far less pessimistic read of Clear’s data collection reveals the challenges of using facial identification systems, which—as a 2019 report from the National Institute for Standards and Technology revealed—have been shown to work less effectively in certain populations, particularly people of African and East Asian descent, women, and elderly and very young people. NIST has also not tested identification accuracy for individuals who are transgender, but Gilliard says he expects the algorithms would fall short. 

More recent testing shows that some algorithms have improved, NIST spokesperson Chad Boutin tells MIT Technology Review—though accuracy is still short of the “five nines” that Seidman Becker once said Clear was aiming for. (Quinto, the Clear representative, maintains that Clear’s recent upgrades, combined with the fact that the company’s testing involves “comparing member photos to smaller galleries, rather than the millions used in NIST scenarios,” means its technology “remains accurate and suitable for secure environments like airports.”)

Even a very small error rate “in a system that is deployed hundreds of thousands of times a day” could still leave “a lot of people” at risk of misidentification, explains Hannah Quay-de La Vallee, a technologist at the Center for Democracy & Technology, a nonprofit based in Washington, DC. All this could make Clear’s services inaccessible to some—even if they can afford it, which is less likely given the recent increase in the subscription fee for travelers to $199 a year.

The free Clear Verified Platform is already giving rise to access problems in at least one partnership, with LinkedIn. The professional networking site encourages users to verify their identities either with an employer email address or with Clear, which marketing materials say will yield more engagement. But some LinkedIn users have expressed concerns, claiming that even after uploading a selfie, they were unable to verify their identities with Clear if they were subscribed to a smaller phone company or if they had simply not had their phone number for enough time. As one Reddit user emphasized, “Getting verified is a huge deal when getting a job.” LinkedIn said it does not enable recruiters to filter, rank, or sort by whether a candidate has a verification badge, but also said that verified information does “help people make more informed decisions as they build their network or apply for a job.” Clear only said it “works with our partners to provide them with the level of identity assurance that they require for their customers” and referred us back to LinkedIn. 

An opt-in future that may not really be optional 

Maybe what’s worse than waiting in line, or even being cut in front of, is finding yourself stuck in what turns out to be the wrong line—perhaps one that you never want to be in. 

That may be how it feels if you don’t use Clear and similar biometric technologies. “When I look at companies stuffing these technologies into vending machines, fast-food restaurants, schools, hospitals, and stadiums, what I see is resignation rather than acceptance—people often don’t have a choice,” says Gilliard, the privacy and surveillance scholar. “The life cycle of these things is that … even when it is ‘optional,’ oftentimes it is difficult to opt out.”

And while the stakes may seem relatively low—Clear is, after all, a voluntary membership program—they will likely grow as the system is deployed more widely. As Seidman Becker said on Clear’s latest earnings call in early November, “The lines between physical and digital interactions continue to blur. A verified identity isn’t just a check mark. It’s the foundation for everything we do in a high-stakes digital world.” Consider a job ad posted by Clear earlier this year, seeking to hire a vice president for business development; it noted that the company has its eye on a number of additional sectors, including financial services, e-commerce, P2P networking, “online trust,” gaming, government, and more. 

“Increasingly, companies and the government are making the submission of your biometrics a barrier to participation in society,” Gilliard says. 

This will be particularly true at the airport, with the increasing ubiquity of facial recognition across all security checks and boarding processes, and where time-crunched travelers could be particularly vulnerable to Clear’s sales pitch. Airports have even privately expressed concerns about these scenarios to Clear. Correspondence from early 2022 between the company and staff at SFO, released in response to a public records request, reveals that the airport “received a number of complaints” about Clear staff “improperly and deceitfully soliciting approaching passengers in the security checkpoint lanes outside of its premises,” with an airport employee calling it “completely unacceptable” and “aggressive and deceptive behavior.” 

Of course, this isn’t to say everyone with a Clear membership was coerced into signing up. Many people love it; the company told MIT Technology Review that it had a nearly 84% retention rate earlier this year. Still, for some experts, it’s worrisome to think that what Clear users are comfortable with ends up setting the ground rules for the rest of us. 

“We’re going to normalize potentially a bunch of biometric stuff but not have a sophisticated conversation about where and how we’re normalizing what,” says Young. She worries this will empower “actors who want to move toward a creepy surveillance state, or corporate surveillance capitalism on steroids.” 

“Without understanding what we’re building or how or where the guardrails are,” she adds, “I also worry that there could be major public backlash, and then legitimate uses [of biometric technology] are not understood and supported.”

But in the meantime, even superfans are grumbling about an uptick in wait times in the airport’s Clear lines. After all, if everyone decides to cut to the front of the line, that just creates a new long line of line-cutters.

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