Tag: facial recognition (page 1 of 2)

Facial recognition and the morality police

As this article points out, before 1979 removal of the traditional hijab was encouraged as part of Iran’s modernisation agenda. Once a theocracy came to power, however, the ‘morality police’ started using any means at their disposal to repress women.

Things have come to a head recently with high-profile women, for example athletes, removing the hijab. It would seem that the Iranian state is responding to this not with discussion, debate, or compassion, but rather with more repression -this time in the form of facial recognition and increasingly levels of surveillance.

We should be extremely concerned about this, as once there is no semblance of anonymity anywhere, then repression by bad actors (of which governments are some of the worst) will increase exponentially.

After Iranian lawmakers suggested last year that face recognition should be used to police hijab law, the head of an Iranian government agency that enforces morality law said in a September interview that the technology would be used “to identify inappropriate and unusual movements,” including “failure to observe hijab laws.” Individuals could be identified by checking faces against a national identity database to levy fines and make arrests, he said.

Two weeks later, a 22-year-old Kurdish woman named Jina Mahsa Amini died after being taken into custody by Iran’s morality police for not wearing a hijab tightly enough. Her death sparked historic protests against women’s dress rules, resulting in an estimated 19,000 arrests and more than 500 deaths. Shajarizadeh and others monitoring the ongoing outcry have noticed that some people involved in the protests are confronted by police days after an alleged incident—including women cited for not wearing a hijab. “Many people haven’t been arrested in the streets,” she says. “They were arrested at their homes one or two days later.”

Although there are other ways women could have been identified, Shajarizadeh and others fear that the pattern indicates face recognition is already in use—perhaps the first known instance of a government using face recognition to impose dress law on women based on religious belief.

Source: Iran to use facial recognition to identify women without hijabs | Ars Technica

You should aim to be independent of any one vote, of any one fashion, of any one century

Happy New Year!

Vintage photograph of an old man building a model ship with a young boy

⚒️ That which is unique, breaks — “The more finished goods become commodities, the fewer opportunities an individual has to generate new creation. The ability to mass-produce removes the opportunity for the great many to learn to produce at all. From such a thought, a future full of consumption-only hobbies might come as no surprise.”

🚔 New Orleans City Council bans facial recognition, predictive policing and other surveillance tech — “The ordinance as passed puts outright bans on four pieces of technology — facial recognition, characteristic recognition and tracking software, predictive policing and cell-site simulators. A ban on license plate readers in the original ordinance was ultimately scrapped.”

🎭 The ‘Batman Effect’: How having an alter ego empowers you — “Self-distancing seems to enable people to reap these positive effects by leading them to focus on the bigger picture – it’s possible to see events as part of a broader plan rather than getting bogged down in immediate feelings. And this has led some researchers to wonder whether it could also improve elements of self-control like determination, by making sure that we keep focused on our goals even in the face of distraction.”

🦇 New lessons for stealth technology — “Optical metamaterials that refract and scatter light in adaptive ways are already familiar in the living world, for example in the photonic crystals found on strongly coloured, microstructured insect cuticles or butterfly wings. Now it appears that acoustic stealth technology too was discovered first by natural selection. Neil et al. report evidence that the intricate array of scales on some moth wings acts as an acoustic metamaterial to reduce echoes from ultrasound6. This, they say, is probably an adaptive property that reduces the visibility of moths to the sonar searches of their predators, bats.

🥱 Misinformation fatigue sets in — “It turns out maybe people don’t actually care about being lied to. And little is likely to change in 2021 unless and until platforms take actual responsibility for the way people gather and organize on them — admitting that their algorithms already guide what we see, who we speak to, what we buy, and what we believe, and working with outside experts to instead curate an experience that undoes a bit of the pollution that they’ve made.”


Quotation-as-title from Baltasar Gracián. Image from top-linked post.

To others we are not ourselves but a performer in their lives cast for a part we do not even know that we are playing

Surveillance, technology, and society

Last week, the London Metropolitan Police (‘the Met’) proudly announced that they’ve begun using ‘LFR’, which is their neutral-sounding acronym for something incredibly invasive to the privacy of everyday people in Britain’s capital: Live Facial Recognition.

It’s obvious that the Met expect some pushback here:

The Met will begin operationally deploying LFR at locations where intelligence suggests we are most likely to locate serious offenders. Each deployment will have a bespoke ‘watch list’, made up of images of wanted individuals, predominantly those wanted for serious and violent offences. 

At a deployment, cameras will be focused on a small, targeted area to scan passers-by. The cameras will be clearly signposted and officers deployed to the operation will hand out leaflets about the activity. The technology, which is a standalone system, is not linked to any other imaging system, such as CCTV, body worn video or ANPR.

London Metropolitan Police

Note the talk of ‘intelligence’ and ‘bespoke watch lists’, as well as promises that LFR will not be linked any other systems. (ANPR, for those not familiar with it, is ‘Automatic Number Plate Recognition’.) This, of course, is the thin end of the wedge and how these things start — in a ‘targeted’ way. They’re expanded later, often when the fuss has died down.


Meanwhile, a lot of controversy surrounds an app called Clearview AI which scrapes publicly-available data (e.g. Twitter or YouTube profiles) and applies facial recognition algorithms. It’s already in use by law enforcement in the USA.

The size of the Clearview database dwarfs others in use by law enforcement. The FBI’s own database, which taps passport and driver’s license photos, is one of the largest, with over 641 million images of US citizens.

The Clearview app isn’t available to the public, but the Times says police officers and Clearview investors think it will be in the future.

The startup said in a statement Tuesday that its “technology is intended only for use by law enforcement and security personnel. It is not intended for use by the general public.” 

Edward Moyer (CNET)

So there we are again, the technology is ‘intended’ for one purpose, but the general feeling is that it will leak out into others. Imagine the situation if anyone could identify almost anyone on the planet simply by pointing their smartphone at them for a few seconds?

This is a huge issue, and one that politicians and lawmakers on both sides of the Atlantic are both ill-equipped to deal with and particularly concerned about. As the BBC reports, the European Commission is considering a five-year ban on facial recognition in public spaces while it figures out how to regulate the technology:

The Commission set out its plans in an 18-page document, suggesting that new rules will be introduced to bolster existing regulation surrounding privacy and data rights.

It proposed imposing obligations on both developers and users of artificial intelligence, and urged EU countries to create an authority to monitor the new rules.

During the ban, which would last between three and five years, “a sound methodology for assessing the impacts of this technology and possible risk management measures could be identified and developed”.

BBC News

I can’t see the genie going back in this particular bottle and, as Ian Welsh puts it, this is the end of public anonymity. He gives the examples of the potential for all kinds of abuse, from an increase in rape, to abuse by corporations, to an increase in parental surveillance of children.

The larger issue is this: people who are constantly under surveillance become super conformers out of defense. Without true private time, the public persona and the private personality tend to collapse together. You need a backstage — by yourself and with a small group of friends to become yourself. You need anonymity.

When everything you do is open to criticism by everyone, you will become timid and conforming.

When governments, corporations, schools and parents know everything, they will try to control everything. This often won’t be for your benefit.

Ian Welsh

We already know that self-censorship is the worst kind of censorship, and live facial recognition means we’re going to have to do a whole lot more of it in the near future.

So what can we do about it? Welsh thinks that this technology should be made illegal, which is one option. However, you can’t un-invent technologies. So live facial recognition is going to be used (lawfully) by some organisations, even if it were restricted to state operatives. I’m not sure if that’s better or worse than everyone having it?


At a recent workshop I ran, I was talking during one of the breaks to one person who couldn’t really see the problem I had raised about surveillance capitalism. I have to wonder if they would have a problem with live facial recognition? From our conversation, I’d suspect not.

Remember that facial recognition is not 100% accurate and (realistically) never can be. So there will be false positives. Let’s say your face ends up on a ‘watch list’ or a ‘bad actor’ database shared with many different agencies and retailers. All of a sudden, you’ve got yourself a very big problem.


As BuzzFeed News reports, around half of US retailers are either using live facial recognition, or have plans to use it. At the moment, companies like FaceFirst do not facilitate the sharing of data across their clients, but you can see what’s coming next:

[Peter Trepp, CEO of FaceFirst] said the database is not shared with other retailers or with FaceFirst directly. All retailers have their own policies, but Trepp said often stores will offer not to press charges against apprehended shoplifters if they agree to opt into the store’s shoplifter database. The files containing the images and identities of people on “the bad guy list” are encrypted and only accessible to retailers using their own systems, he said.

FaceFirst automatically purges visitor data that does not match information in a criminal database every 14 days, which is the company’s minimum recommendation for auto-purging data. It’s up to the retailer if apprehended shoplifters or people previously on the list can later opt out of the database.

Leticia Miranda (BuzzFeed News)

There is no opt-in, no consent sought or gathered by retailers. This is a perfect example of technology being light years ahead of lawmaking.


This is all well-and-good in situations where adults are going into public spaces, but what about schools, where children are often only one step above prisoners in terms of the rights they enjoy?

Recode reports that, in schools, the surveillance threat to students goes beyond facial recognition. So long as authorities know generally what a student looks like, they can track them everywhere they go:

Appearance Search can find people based on their age, gender, clothing, and facial characteristics, and it scans through videos like facial recognition tech — though the company that makes it, Avigilon, says it doesn’t technically count as a full-fledged facial recognition tool

Even so, privacy experts told Recode that, for students, the distinction doesn’t necessarily matter. Appearance Search allows school administrators to review where a person has traveled throughout campus — anywhere there’s a camera — using data the system collects about that person’s clothing, shape, size, and potentially their facial characteristics, among other factors. It also allows security officials to search through camera feeds using certain physical descriptions, like a person’s age, gender, and hair color. So while the tool can’t say who the person is, it can find where else they’ve likely been.

Rebecca Heilweil (Recode)

This is a good example of the boundaries of technology that may-or-may-not be banned at some point in the future. The makers of Appearance Search, Avigilon, claim that it’s not facial recognition technology because the images it captures and analyses are tied to the identity of a particular person:

Avigilon’s surveillance tool exists in a gray area: Even privacy experts are conflicted over whether or not it would be accurate to call the system facial recognition. After looking at publicly available content about Avigilon, Leong said it would be fairer to call the system an advanced form of characterization, meaning that the system is making judgments about the attributes of that person, like what they’re wearing or their hair, but it’s not actually claiming to know their identity.

Rebecca Heilweil (Recode)

You can give as many examples of the technology being used for good as you want — there’s one in this article about how the system helped discover a girl was being bullied, for example — but it’s still intrusive surveillance. There are other ways of getting to the same outcome.


We do not live in a world of certainty. We live in a world where things are ambiguous, unsure, and sometimes a little dangerous. While we should seek to protect one another, and especially those who are most vulnerable in society, we should think about the harm we’re doing by forcing people to live the totality of their lives in public.

What does that do to our conceptions of self? To creativity? To activism? Live facial recognition technology, as well as those technologies that exist in a grey area around it, is the hot-button issue of the 2020s.


Image by Kirill Sharkovski. Quotation-as-title by Elizabeth Bibesco.