The company claims over 600 law enforcement agencies use their app, but in the wrong hands, it could pose extreme dangers. Here's an explainer.
Imagine you're at a bar and you see a person you find attractive.
You sneakily take a photo of them, and use that photo in an app that pulls up every public photo of that person available online. Links to each photo are also provided, meaning you can find out this person's name, workplace, hometown, friends, and more, without even talking to them. An app called Clearview AI has made the potential for this situation a reality.
Recently, New York Times reporter Kashmir Hill investigated the tiny start-up that's taking revolutionary steps in facial recognition technology. Clearview AI was developed by Hoan Ton-That, a San Francisco techie by way of Australia, who marketed the app as a tool for law enforcement to hunt down their victims. Clearview's database contains over three billion images scraped from millions of websites; the premise is, when you take a photo of a person, you can upload it and see public photos of that person and access links to where those photos are from.
Facial Crowd Recognition Technology Getty Images
Though this sounds like a remarkable tool for law enforcement, Clearview poses severe threats to privacy if placed in the wrong hands. As Hill described in her appearance on Times podcast The Daily this week, someone with malicious intent could theoretically take a photo of a stranger, upload it to Clearview, and uncover personal information like that person's name, where they work, where they live, and who their family members are. In short: the concept is so risky that companies who were able to do the same thing first, like Google, refused to.
Still, Clearview claims that over 600 law enforcement agencies have been using the app, although they've kept their list of customers private. Clearview's investors have cited the app's crime-solving capabilities as a means to back it; Clearview has already helped track down suspects on numerous accounts. But, as Hill's reports found, the app isn't always perfect and might not be fully unbiased; "After the company realized I was asking officers to run my photo through the app, my face was flagged by Clearview's systems and for a while showed no matches," Hill wrote. "When asked about this, Mr. Ton-That laughed and called it a 'software bug.'" Later, when Ton-That ran another photo of Hill through the app, it pulled up a decade's worth of photos—many of which Hill didn't even realize were public.
"Our belief is that this is the best use of the technology," Ton-That told Hill. But is Clearview's usefulness in law enforcement worth leaving our privacy behind every time we leave the house?
How the newest viral meme could change the future.
You're probably already familiar with the viral '10 Year Challenge' meme.
You may have even participated. But for the uninitiated, you simply post a picture of yourself 10 years ago next to a current picture of yourself now. It's the sort of fun, simple premise that understandably gains traction online. It's cool seeing how your friends, family, and even strangers have changed over time, so it's no wonder '10 Year Challenge' images have taken over social media sites like Facebook, Instagram, and Twitter.
But it's also important to remember that whenever you use social media, you are a product and any information you post, including your interests and identity, can be utilized by corporations. Considering this reality, author Kate O'Neill considered a distinct possibility: that perhaps the '10 Year Challenge' was not so innocent after all - perhaps it was being used to train facial recognition algorithms.
The tweet quickly gained traction, leading Kate O'Neill to pen a piece on the topic for Wired. There, she discusses potential scenarios in which a seemingly harmless meme could be utilized to shape our future in indeterminable ways.
For instance, advanced facial recognition technology could be used to great societal benefit in helping recognize missing people. With the right algorithm at work, we might be able to accurately age up child abduction victims or other missing persons with enough accuracy to make them fully recognizable even decades later.
On the other hand, advanced facial recognition technology could potentially be utilized by insurance companies to deny coverage to people they deem likely of developing certain conditions. Obviously, the technology is nowhere near that point yet, but it's essential to consider the reach of future technology when discussing the way we put information about ourselves online in the present.
That being said, the notion that Facebook is using this meme for the purpose of facial recognition technology has detractors too. Some argue that most of the pictures people are using were already on Facebook in the first place. As such, Facebook wouldn't gain any new information from this meme. Others think the non-serious nature of many online posts would probably ruin a lot of potential data.
Still, the existence of two images, both dated by their subject as being a decade apart, creates a more accurate data sample then two images simply posted ten years apart and assumed to be accurately dated. Moreover, even current facial recognition software is adept at recognizing human faces, so joking content would likely not be as big a hindrance as some might imagine.
All that being said, Facebook denies any direct involvement with the popularity of this meme. A spokesperson told O'Neill: "This is a user-generated meme that went viral on its own. Facebook did not start this trend, and the meme uses photos that already exist on Facebook. Facebook gains nothing from this meme (besides reminding us of the questionable fashion trends of 2009). As a reminder, Facebook users can choose to turn facial recognition on or off at any time."
Not to say that Facebook is being honest here, but chances are that this really is just a harmless meme being pushed by users who find it fun. Even if Facebook could possibly use it for technological advancement, there's probably no conspiracy at play. But the larger conversation about the way we freely supply data about our lives to companies online is still entirely relevant.
Before you post anything online, always consider how that information could be used in the future. Do you really want that out there?
Facial recognition technology is getting better, and every industry from fast food to law enforcement is beginning to utilize it.
About six months ago, Chinese conglomerate Alibaba released technology that allows customers to pay for goods via facial recognition. The tech giant, now worth over 500 billion dollars, chose KFC as the testing ground for their new payment method; a logical move, considering Alibaba is invested in Yum! China, the company responsible for every KFC, Taco Bell, and Pizza Hut operating within the country. This "Smile to Pay" method is possible because of Face++, a company that focuses on facial and body recognition technology. And the commercial sector isn't the only area that's investing heavily in facial recognition tech in China. There are train stations in Beijing that use facial recognition (based off of government IDs) to print out tickets, and many office buildings (including Alibaba's headquarters) are phasing out key cards in favor of this newer security measure. Still, the most common usage of facial recognition –and possibly the most difficult to come to terms with– is the identification of potential criminals.