- The website is part of SHERPA, a European Union-funded "project which analyses how AI and big data analytics impact ethics and human rights."
- The interactive documentary uses your webcam to analyze your face, predicting metrics like age, attractiveness, gender, body mass index and life expectancy.
- Despite the shortcomings of facial recognition, there's currently no set of national laws regulating the use of the technology by governments or private companies.
Facial recognition technology has sparked controversy since law enforcement began using it two decades ago. But as facial recognition continues to creep into our public spaces and private devices, there's one fact law enforcement, tech companies and privacy advocates can agree on: the technology isn't perfect.
Sure, facial recognition can identify people with near-perfect accuracy — if the system is fed high-quality images, with good positioning and lighting. But the accuracy rates drop significantly when the systems use photos of people "in the wild," as the Center for Strategic & International Studies recently noted.
Accuracy rates drop even further when facial recognition tries to identify African-American and Asian faces. In January, this deficit ostensibly led to the wrongful arrest of a Detroit man named Robert Julian-Borchak Williams, who was held in jail for 30 hours.
But facial recognition may be, or soon be, affecting your life in subtler ways, from how much you pay for life insurance, to the job you land, to whom you match with on dating apps.
An interactive facial recognition experience
Want to see for yourself how well these systems work? Check out a new interactive mini-documentary called "How Normal Am I?", created by Tijmen Schep, a technology critic and privacy designer.
The documentary is part of SHERPA, a European Union-funded "project which analyses how AI and big data analytics impact ethics and human rights." To experience it, you'll need to grant the website permission to access your webcam, though "no personal data is collected." (You can also access the website and then disconnect your computer from the internet; it should still work fine.)
hownormalami.eu
"How Normal Am I?" uses facial recognition to predict your age, attractiveness, body mass index, life expectancy and gender. Don't get upset if you get a low attractiveness or a high age score: Tilting your head, moving closer to the camera, or just running the program a second time can produce different results.
And that's sort of the point: If facial recognition technology is unreliable on a broad range of measures, to what extent should governments and the private sector be using it? Even if it does become reliable, to what extent should governments be allowed to use it on citizens?
The future of facial recognition technology
In a 2019 Pew Research Center survey, a majority of U.S. respondents said it's acceptable for law enforcement agencies to use facial recognition to scan for threats in public spaces. However, far fewer said it's acceptable for advertisers to use facial recognition to do things like analyze how people respond to commercials in real time.
What could change how facial recognition operates in the U.S. is a set of national laws, which currently don't exist. (Although, some states and cities do regulate the technology.) There are currently more than a dozen bills addressing facial recognition technology, ranging from legislation that would outlaw warrantless usage of facial recognition, to banning federal agencies from using it altogether.
- Amazon is selling facial recognition technology to police - Big Think ›
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- AI facial recognition tool causes privacy concerns - Big Think ›
This is going to force a major shift in the way we see these early hominids. Researchers had thought that Neanderthals were profoundly primitive, and just barely human. This cave in France's Aveyron Valley changes all that: It's suddenly obvious that Neanderthals were not quite so unlike us.
According to The Atlantic, Bruniquel Cave was first explored in 1990 by Bruno Kowalsczewski, who was 15 at the time. He'd spent three years digging away at rubble covering a space through which his father felt air moving.
Some members of a local caving club managed to squeeze through the narrow, 30-meter long tunnel Kowalsczewski had dug to arrive in a passageway. They followed it past pools of water and old animal bones for over 330 meters before coming into a large chamber and a scene they had no reason to expect: Stalagmites that someone had broken into hundreds of small pieces, most of which were arranged into two rings—one roughly 6 meters across, and one 2 meters wide—with the remaining pieces stacked into one of four piles or leaning against the rings. There were also indications of fires and burnt bones.
Image source: Etienne FABRE - SSAC
What the?
A professional archeologist, Francois Rouzaud, determined with carbon dating that a burnt bear bone found in the chamber was 47,600 years old, which made the stalagmite structures older than any known cave painting. It also put the cave squarely within the age of the Neanderthals since they were the only humans in France that early. No one had suspected them of being capable of constructing complex forms or doing anything that far underground.
After Rouzard suddenly died in 1999, exploration at the cave stopped until life-long caver Sophie Verheyden, vacationing in the area, heard about it and decided to try and uranium-date the stalagmites inside.
The team she assembled eventually determined that the stalagmites had been broken up by people 176,000 years ago, way farther back even than Rouzard had supposed.
There weren't any signs that Neanderthals lived in the cave, so it's a mystery what they were up to down there. Verheyden thinks it's unlikely that a solitary artist created the tableaux, and so an organized group of skilled workers must've been involved. And “When you see such a structure so far into the cave, you think of something cultural or religious, but that's not proven," Verheyden told The Atlantic.
Whatever they built, the Bruniquel Cave reveals some big surprises about Neanderthals: They had fire, they built things, and likely used tools. Add this to recent discoveries that suggest they buried their dead, made art, and maybe even had language, and these mysterious proto-humans start looking a lot more familiar. A lot more like homo sapiens, and a lot more like distant cousins lost to history.
Paul Hudson/Flickr
Obscure freaky smiling psycho man
When considering what precisely makes someone a psychopath, the lines can be blurry.
Psychological research has shown that many people in society have some degree of malevolent personality traits, such as those described by the "dark triad": narcissism (entitled self-importance), Machiavellianism (strategic exploitation and deceit), and psychopathy (callousness and cynicism). But while people who score high in these traits are more likely to end up in prison, most of them are well functioning and don't engage in extreme antisocial behaviors.
Now, a new study published in Cerebral Cortex found that the brains of psychopathic criminals are structurally and functionally similar to many well-functioning, non-criminal individuals with psychopathic traits. The results suggest that psychopathy isn't a binary classification, but rather a "constellation" of personality traits that "vary in the non-incarcerated population with normal range of social functioning."
Assessing your inner psychopath
The researchers used functional magnetic resonance imaging (fMRI) to compare the brains of violent psychopathic criminals to those of healthy volunteers. All participants were assessed for psychopathy through commonly used inventories: the Hare Psychopathy Checklist-Revised and the Levenson Self-Report Psychopathy Scale.
Both groups watched a 26-minute-long medley of movie scenes that were selected to portray a "large variability of social and emotional content." Some scenes depicted intense violence. As participants watched the medley, fMRI recorded how various regions of their brains responded to the content.
The goal was to see whether the brains of psychopathic criminals looked and reacted similarly to the brains of healthy subjects who scored high in psychopathic traits. The results showed similar reactions: When both groups viewed violent scenes, the fMRI revealed strong reactions in the orbitofrontal cortex and anterior insula, brain regions associated with regulating emotion.
These similarities manifested as a positive association: The more psychopathic traits a healthy subject displayed, the more their brains responded like the criminal group. What's more, the fMRI revealed a similar association between psychopathic traits and brain structure, with those scoring high in psychopathy showing lower gray matter density in the orbitofrontal cortex and anterior insula.
There were some key differences between the groups, however. The researchers noted that the structural abnormalities in the healthy sample were mainly associated with primary psychopathic traits, which are: inclination to lie, lack of remorse, and callousness. Meanwhile, the functional responses of the healthy subjects were associated with secondary psychopathic traits: impulsivity, short temper, and low tolerance for frustration.
Overall, the study further illuminates some of the biological drivers of psychopathy, and it adds nuance to common conceptions of the differences between psychopathy and being "healthy."
Why do some psychopaths become criminals?
The million-dollar question remains unanswered: Why do some psychopaths end up in prison, while others (or, people who score high in psychopathic traits) lead well-functioning lives? The researchers couldn't give a definitive answer, but they did note that psychopathic criminals had lower connectivity within "key nodes of the social and emotional brain networks, including amygdala, insula, thalamus, and frontal pole."
"Thus, even though there are parallels in the regional responsiveness of the brain's affective circuit in the convicted psychopaths and well-functioning subjects with psychopathic traits, it is likely that the disrupted functional connectivity of this network is specific to criminal psychopathy."
A year ago, the Center for Countering Digital Hate warned of the parallel pandemics — the biological contagion of COVID-19 and the social contagion of misinformation, aiding the spread of the disease. Since the outbreak of COVID-19, anti-vaccine accounts have gained 10 million new social media followers, while we have witnessed arson attacks against 5G masts, hospital staff abused for treating COVID patients, and conspiracists addressing crowds of thousands.
Many have refused to follow guidance issued to control the spread of the virus, motivated by beliefs in falsehoods about its origins and effects. The reluctance we see in some to get the COVID vaccine is greater amongst those who rely on social media rather than traditional media for their information. In a pandemic, lies cost lives, and it has felt like a new conspiracy theory has sprung up online every day.
How we, as social media users, behave in response to misinformation can either enable or prevent it from being seen and believed by more people.
The rules are different online
If a colleague mentions in the office that Bill Gates planned the pandemic, or a friend at dinner tells the table that the COVID vaccine could make them infertile, the right thing to do is often to challenge their claims. We don't want anyone to be left believing these falsehoods.
But digital is different. The rules of physics online are not the same as they are in the offline world. We need new solutions for the problems we face online.
Now, imagine that in order to reply to your friend, you must first hand him a megaphone so that everyone within a five-block radius can hear what he has to say. It would do more damage than good, but this is essentially what we do when we engage with misinformation online.
Think about misinformation as being like the coronavirus — when we engage with it, we help to spread it to everyone else with whom we come into contact. If a public figure with a large following responds to a post containing misinformation, they ensure the post is seen by hundreds of thousands or even millions of people with one click. Social media algorithms also push content into more users' newsfeeds if it appears to be engaging, so lots of interactions from users with relatively small followings can still have unintended negative consequences.
The trend of people celebrating and posting photos of themselves or loved ones receiving the vaccine has been far more effective than any attempt to disprove a baseless claim about Bill Gates or 5G mobile technology.
Additionally, whereas we know our friend from the office or dinner, most of the misinformation we see online will come from strangers. They often will be from one of two groups — true believers, whose minds are made up, and professional propagandists, who profit from building large audiences online and selling them products (including false cures). Both of these groups use trolling tactics, that is, seeking to trigger people to respond in anger, thus helping them reach new audiences and thereby gaming the algorithm.
On the day the COVID vaccine was approved in the UK, anti-vaccine activists were able to provoke pro-vaccine voices into posting about thalidomide, exposing new audiences to a reason to distrust the medical establishment. Those who spread misinformation understand the rules of the game online; it's time those of us on the side of enlightenment values of truth and science did too.
How to fight online misinformation
Of course, it is much easier for social media companies to take on this issue than for us citizens. Research from the Center for Countering Digital Hate and Anti-Vax Watch last month found that 65% of anti-vaccine content on social media is linked to just twelve individuals and their organizations. Were the platforms to simply remove the accounts of these superspreaders, it would do a huge amount to reduce harmful misinformation.
The problem is that social media platforms are resistant to do so. These businesses have been built by constantly increasing the amount of time users spend on their platforms. Getting rid of the creators of engaging content that has millions of people hooked is antithetical to the business model. It will require intervention from governments to force tech companies to finally protect their users and society as a whole.
So, what can the rest of us do, while we await state regulation?
Instead of engaging, we should be outweighing the bad with the good. Every time you see a piece of harmful misinformation, share advice or information from a trusted source, like the WHO or BBC, on the same subject. The trend of people celebrating and posting photos of themselves or loved ones receiving the vaccine has been far more effective than any attempt to disprove a baseless claim about Bill Gates or 5G mobile technology. In the attention economy that governs tech platforms, drowning out is a better strategy than rebuttal.
Imran Ahmed is CEO of the Center for Countering Digital Hate.
