The ninth annual Biometrics for Government and Law Enforcement conference kicks off today in Arlington, Virginia, where the F.B.I., Department of Homeland Security, U.S. Army, California Border Patrol, and more gather to plot the future of snagging bad guys. This year’s festivities showcase the F.B.I.’s new $1.2 billion “Next Generation Identification” system (N.G.I.)—taken fully operational last September—a massive database and suite of tools (accessible by 18,000 federal, state, local, tribal, and international agencies) for capturing, storing, and analyzing fingerprints, palm prints, faces, and iris biometrics. The bureau calls it “a significant step forward for the criminal justice community in utilizing biometrics as an investigative enabler.” In other words, the robocops are coming.

Biometrics, or ways of identifying individuals based on singular physical characteristics, have been used for criminal investigation since ancient imperial China began tracking citizens’ fingerprints, but recent advancements have taken body and face quantification mainstream. Your thumb unlocks your iPhone, Japanese and Polish A.T.M.s come equipped with fingertip vein pattern recognition, Dubai police officers wear Google Glass with facial recognition software, and, as part of the N.G.I. rollout, 62 U.S. police departments are currently field-testing handheld iris and facial recognition devices. But how will this information be compiled, and what can these agencies presume to know about an individual from biometric identification? Critics point to experiments like gay face studies, and other data-driven attempts to standardize how we see large groups of people, as proof that biometrics can ultimately be as pseudoscientific as the 19th century pursuits of phrenology and anthropometry, which attempted to read into a person’s identity based on say, the length of one’s left foot or the shape of an individual’s skull.


Concern for a world beyond the watch of government, free from systematically monitored and restricted public visibility, is the broad civil rights challenge tackled by artist and University of Buffalo Professor Zach Blas’s work. Blas’s mask projects, designed to visualize the way computers mathematically understand and read human faces, reject the safety of surveillance and propose a rebellion in the form of public opacity. These masks, built from facial biometric data, cast the insidious growth of visual surveillance’s technological capacity in stark relief. Some of the masks, like Blas’ lumpy Facial Weaponization Suite series, are shaped so that they can’t be identified as faces by biometric software, providing opacity to the wearer. Others, like his metal face cage masks, are made intentionally painful to wear, illustrating the discomfort in imposing quantified, presumptuous data onto the face of a specific individual.

Such are the capabilities of modern biometric technology that the New Yorker recently predicted an “emotion economy.” Through the detailed, instant detection of human emotion, powered by camera technology backed by increasingly well-sourced algorithms, attention will soon be as quantifiably valuable as money and time. Aside from your new political identity, your face may also be your next wallet.

We talked to Blas about what it all means.

What was your first exposure to biometric technology? What was your reaction?

What captured my attention the most…were the problematics of digital standardization. I think that’s what really captivated me the most. I wasn’t initially focused on surveillance. And even though the work that I’ve done is very commonly talked about now in relation to surveillance and privacy and the NSA, that actually was not the focal point at all of the project. It was very much about how biometrics are standardizing how you account for identity at a global, technical scale. To do that, that requires certain processes of abstraction, certain kinds of averaging… I became really interested in how that kind of standardization was effecting queer people, people of color, transgender people, broad sets of minoritarian populations.

The much more basic issue of identification standardization…is the precondition for surveillance to even happen because for global surveillance to ramp up, you have to have technical protocols that are congruent with one another. That’s part of the standardization that biometrics are a part of, that standardizes the face, the iris, the fingerprint, etc., in a way that can be shared between global networks, between countries, private security companies, militaries.

What are the implications of biometric technologies being primarily implemented and advanced by security, law enforcement, and other government agencies and affiliates?

I get the sense that we’re living in a culture now where more and more, we’re interested in being able to fully quantify certain things in relation to identification, that historically have always remained open and vague. I think the face is a great example of that. As we move towards this belief in total quantification, what happens is you annihilate all alterity. All alterity [“otherness”] exists within the cracks and fissures of quantification…Now we’re at a moment where biometrics have so deeply and broadly changed what a face means. All the different ways that the face is a quantitative surface permeates through the world today.

I think one of the things that you’re seeing, when you ask about the potential ramifications of this, is you’re seeing a really odd return to pseudo-scientific endeavors of the 19th century. Things like anthropometry, physiognomy, phrenology, methods that were popularized by Alphonse Bertillon, Cesare Lombroso, Francis Galton, certain criminologists who would measure criminal skulls to say, “Here’s what the average criminal skull looks like.”

You’re seeing a really weird history-repeating-itself moment with things like that coming back, but of course they’re executed under the guise of high-tech biometrics, so they’re not as questioned because there’s this high-tech sheen to these technologies that I think a lot of people believe are utterly scientifically objective. I think that’s one of the central problems, that biometrics propagate a certain way of understanding identity where you can scan the surface of the body digitally, fully quantify it, and gain some kind of core truth about a person. And you now see that permeating in a lot of different ways.

I’m finishing a book right now that’s on all of this, called Informatic Opacity…Opacity is a philosophical concept that was developed by the Caribbean philosopher and poet Édouard Glissant. He has a really beautiful passage, “We must clamor for the right to opacity for everyone.” He’s writing from Martinique in this post-colonial context. His argument is about maintaining the opacity of the other, respecting the opacity of the other person, not thinking that another person could ever be fully transparent to you, that, for Glissant, is a deeply anti-imperialist political project.

How has opacity grown more and more difficult to protect under the continued growth of visual and information surveillance?

Certain countries around the world implement biometric programs for all citizens. India was one of the first countries to do this. Another could just be living in an urban environment, where you feel like surveillance is totalized. London is a good example of that. There are so many networks of machines and humans capturing our data. We’re being told by various governments what it means in particular ways. That has consequences. Some people choose to believe that and some people don’t.

I think it’s a lot harder to actually try to maintain that opacity that Glissant is talking about, more than ever. But at the same time, you just have to look to social movements for very clear articulations of opacity as a political project. That’s why I was so personally interested in the masks, and why I worked with protest masks in my project, because the protest mask today–whether it’s the Zapatistas, or Anonymous, or Pussy Riot, or Black Bloc–that to me is such a clear, powerful, popular example of investing in opacity.

And opacity for me means something very different than privacy. I was interested in how those collectives, those social movements, were wearing masks, on the one hand to evade individual detection, possibly by things like cameras, police forces, etc., but at the same time, it’s not just about preserving individuality. With social movements and collective protests with masks, there’s also something very much about collective transformation. There’s something positive that’s happening in those moments that’s not just about the negative refusal. It’s also about coming together and transforming beyond the quantificative gaze of biometrics.

Is it fair to be skeptical that law enforcement’s increasing willingness to implement body camera infrastructure is solely for the sake of accountability, as opposed to expanding the capacity of biometric policing and security?

I would never, ever trust the expansion of tools of visibility into the hands of the oppressors. I am so deeply against the police. That to me inspires the deepest of deepest of suspicion. A great example is the fact that with the Eric Garner case, someone did record his murder, and nothing happened with that footage. Why is it that the footage has to be somehow produced by the police for that footage to count in an official way in the criminal justice system? It just doesn’t make sense to me. It puts so much agency and control over the video feed with the police officer. And there’s also been incidents where they haven’t had it turned on…

Of course, I would never expect the police or our governments to actually get to the root and address the baseline problematics. But it just seems to me a half-hearted gesture. Also you can read it as this gesture of, “Oh, this is going to be good for the public. We can see police encounters with people and hold them accountable.” But I think you can also read it in a cynical way: “Now, the police state just go to extend its surveillance capabilities.” I also read statistics about how less people are willing to file a complaint if an incident has been recorded. It just seems very clearly to be not necessarily about protecting citizens, but about increasing surveillance.

Does anyone benefit from a society that universally polices biometrically?

The short-handed answer would be the oppressors. To be a bit more specific, private security companies benefit because, of course, biometrics is a perfect neoliberal technology. Its development is not just happening with the state and the military. There’s a lot of commercial interest and investment in developing biometric technologies. Biometrics have also spilled out into the domestic realm. You have biometrics in computer games. You have creative biometric software platforms that are emerging.

There’s a lot of money to be made in the biometrics industry. At this point, it’s a multi-billion dollar industry. You’re either going to make money off of it in the private commercial sector, or you believe in some kind of imperial surveillance agenda and you feel like you’re gaining something from it by turning the world into a totalized surveillance society.

  • Man’s dog suddenly becomes protective of his wife, Internet clocks the reason right away
    Dogs have impressive observational powers.Photo credit: Canva

    Reddit user Girlfriendhatesmefor’s three-year-old pitbull, Otis, had recently become overprotective of his wife. So he asked the online community if they knew what might be wrong with the dog.

    “A week or two ago, my wife got some sort of stomach bug,” the Reddit user wrote under the subreddit /r/dogs. “She was really nauseous and ill for about a week. Otis is very in tune with her emotions (we once got in a fight and she was upset, I swear he was staring daggers at me lol) and during this time didn’t even want to leave her to go on walks. We thought it was adorable!”

    His wife soon felt better, butthe dog’s behavior didn’t change.

    pregnancy signs, dogs and pregnancy, pitbull behavior, pet intuition, dog overprotection, Reddit stories, viral Reddit, dog instincts, canine emotions, dog owner tips
    Otis knew before they did. Canva

    Girlfriendhatesmefor began to fear that Otis’ behavior may be an early sign of an aggression issue or an indication that the dog was hurt or sick.

    So he threw a question out to fellow Reddit users: “Has anyone else’s dog suddenly developed attachment/aggression issues? Any and all advice appreciated, even if it’s that we’re being paranoid!”

    The most popular response to his thread was by ZZBC.

    Any chance your wife is pregnant?

    ZZBC | Reddit

    The potential news hit Girlfriendhatesmefor like a ton of bricks. A few days later, Girlfriendhatesmefor posted an update and ZZBC was right!

    “The wifey is pregnant!” the father-to-be wrote. “Otis is still being overprotective but it all makes sense now! Thanks for all the advice and kind words! Sorry for the delayed reply, I didn’t check back until just now!”

    Redditors responded with similar experiences.

    Anecdotal I know but I swear my dog knew I was pregnant before I was. He was super clingy (more than normal) and was always resting his head on my belly.

    realityisworse | Reddit

    So why do dogs get overprotective when someone is pregnant?

    Jeff Werber, PhD, president and chief veterinarian of the Century Veterinary Group in Los Angeles, told Health.com that “dogs can also smell the hormonal changes going on in a woman’s body at that time.” He added the dog may “not understand that this new scent of your skin and breath is caused by a developing baby, but they will know that something is different with you—which might cause them to be more curious or attentive.”

    The big lesson here is to listen to your pets and to ask questions when their behavior abruptly changes. They may be trying to tell you something, and the news may be life-changing.

    This article originally appeared last year.

  • Chris Hemsworth’s reaction to his daughter wanting a penis deserves a standing ovation.
    Chris Hemsworth's Daddy DilemmaPhoto credit: youtu.be

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