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Could A.I. detect mass shooters before they strike?
President Trump has called for Silicon Valley to develop digital precogs, but such systems raise efficacy concerns.
- President Donald Trump wants social media companies to develop A.I. that can flag potential mass shooters.
- Experts agree that artificial intelligence is not advanced enough, nor are current moderating systems up to the task.
- A majority of Americans support stricter gun laws, but such policies have yet to make headway.
On August 3, a man in El Paso, Texas, shot and killed 22 people and injured 24 others. Hours later, another man in Dayton, Ohio, shot and killed nine people, including his own sister. Even in a country left numb by countless mass shootings, the news was distressing and painful.
President Donald Trump soon addressed the nation to outline how his administration planned to tackle this uniquely American problem. Listeners hoping the tragedies might finally spur motivation for stricter gun control laws, such as universal background checks or restrictions on high-capacity magazines, were left disappointed.
Trump's plan was a ragbag of typical Republican talking points: red flag laws, mental health concerns, and regulation on violent video games. Tucked among them was an idea straight out of a Philip K. Dick novel.
"We must recognize that the internet has provided a dangerous avenue to radicalize disturbed minds and perform demented acts," Trump said. "First, we must do a better job of identifying and acting on early warning signs. I am directing the Department of Justice to work in partnership with local, state and federal agencies as well as well as social media companies to develop tools that can detect mass shooters before they strike."
Basically, Trump wants digital precogs. But has artificial intelligence reached such grand, and potentially terrifying, heights?
A digitized state of mind
It's worth noting that A.I. has made impressive strides at reading and quantifying the human mind. Social media is a vast repository of data on how people feel and think. If we can suss out the internal from the performative, we could improve mental health care in the U.S. and abroad.
For example, a study from 2017 found that A.I. could read the predictive markers for depression in Instagram photos. Researchers tasked machine learning tools with analyzing data from 166 individuals, some of whom had been previously diagnosed with depression. The algorithms looked at filter choice, facial expressions, metadata tags, etc., in more than 43,950 photos.
The results? The A.I. outperformed human practitioners at diagnosing depression. These results held even when analyzing images from before the patients' diagnoses. (Of course, Instagram is also the social media platform most likely to make you depressed and anxious, but that's another study.)
Talking with Big Think, Eric Topol, a professor in the Department of Molecular Medicine at Scripps, called this the ability to "digitize our state of mind." In addition to the Instagram study, he pointed out that patients will share more with a self-chosen avatar than a human psychiatrist.
"So when you take this ability to digitize a state of mind and also have a support through an avatar, this could turn out to be a really great way to deal with the problem we have today, which is a lack of mental health professionals with a very extensive burden of depression and other mental health conditions," Topol said.
Detecting mass shooters?
....mentally ill or deranged people. I am the biggest Second Amendment person there is, but we all must work togeth… https://t.co/T9OthUAsXe— Donald J. Trump (@Donald J. Trump)1565352202.0
However, it's not as simple as turning the A.I. dial from "depression" to "mass shooter." Machine learning tools have gotten excellent at analyzing images, but they lag behind the mind's ability to read language, intonation, and social cues.
As Facebook CEO Mark Zuckerberg said: "One of the pieces of criticism we get that I think is fair is that we're much better able to enforce our nudity policies, for example, than we are hate speech. The reason for that is it's much easier to make an A.I. system that can detect a nipple than it is to determine what is linguistically hate speech."
Trump should know this. During a House Homeland Security subcommittee hearing earlier this year, experts testified that A.I. was not a panacea for curing online extremism. Alex Stamos, Facebook's former chief security officer, likened the world's best A.I. to "a crowd of millions of preschoolers" and the task to demanding those preschoolers "get together to build the Taj Mahal."
None of this is to say that the problem is impossible, but it's certainly intractable.
Yes, we can create an A.I. that plays Go or analyzes stock performance better than any human. That's because we have a lot of data on these activities and they follow predictable input-output patterns. Yet even these "simple" algorithms require some of the brightest minds to develop.
Mass shooters, though far too common in the United States, are still rare. We've played more games of Go, analyzed more stocks, and diagnosed more people with depression, which millions of Americans struggle with. This gives machine learning software more data points on these activities in order to create accurate, responsible predictions — that still don't perform flawlessly.
Add to this that hate, extremism, and violence don't follow reliable input-output patterns, and you can see why experts are leery of Trump's direction to employ A.I. in the battle against terrorism.
"As we psychological scientists have said repeatedly, the overwhelming majority of people with mental illness are not violent. And there is no single personality profile that can reliably predict who will resort to gun violence," Arthur C. Evans, CEO of the American Psychological Association, said in a release. "Based on the research, we know only that a history of violence is the single best predictor of who will commit future violence. And access to more guns, and deadlier guns, means more lives lost."
Social media can't protect us from ourselves
First Lady Melania Trump visits with the victims of the El Paso, Texas, shooting. Image source: Andrea Hanks / Flickr
One may wonder if we can utilize current capabilities more aggressively? Unfortunately, social media moderating systems are a hodgepodge, built piecemeal over the last decade. They rely on a mixture of A.I., paid moderators, and community policing. The outcome is an inconsistent system.
For example, the New York Times reported in 2017 that YouTube had removed thousands of videos using machine learning systems. The videos showed atrocities from the Syrian War, such as executions and people spouting Islamic State propaganda. The algorithm flagged and removed them as coming from extremist groups.
In truth, the videos came from humanitarian organizations to document human rights violations. The machine couldn't tell the difference. YouTube reinstated some of the videos after users reported the issue, but mistakes at such a scale do not give one hope that today's moderating systems could accurately identify would-be mass shooters.
That's the conclusion reached in a report from the Partnership on A.I. (PAI). It argued there were "serious shortcomings" in using A.I. as a risk-assessment tool in U.S. criminal justice. Its writers cite three overarching concerns: accuracy and bias; questions of transparency and accountability; and issues with the interface between tools and people.
"Although the use of these tools is in part motivated by the desire to mitigate existing human fallibility in the criminal justice system, it is a serious misunderstanding to view tools as objective or neutral simply because they are based on data," the report states. "While formulas and statistical models provide some degree of consistency and replicability, they still share or amplify many weaknesses of human decision-making."
In addition to the above, there are practical barriers. The technical capabilities of law enforcement vary between locations. Social media platforms deal in massive amounts of traffic and data. And even when the red flags are self-evident — such as when shooters publish manifestos — they offer a narrow window in which to act.
The tools to reduce mass shootings
Protesters at March for Our Lives 2018 in San Francisco. Image source: Gregory Varnum / Wikimedia Commons
Artificial intelligence offers many advantages today and will offer more in the future. But as an answer to extremism and mass shootings, experts agree it's simply the wrong tool. That's the bad news. The good news is we have the tools we need already, and they can be implemented with readily available tech.
"Based on the psychological science, we know some of the steps we need to take. We need to limit civilians' access to assault weapons and high-capacity magazines. We need to institute universal background checks. And we should institute red flag laws that remove guns from people who are at high risk of committing violent acts," Evans wrote.
We don't need advanced A.I. to figure this out. There's only one developed country in the world where someone can legally and easily acquire an armory of guns, and it's the only developed country that suffers mass shootings with such regularity. It's a simple arithmetic.
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In more than a dozen countries as far apart as Portugal and Russia, 'Smith' is the most popular occupational surname
- 'Smith' is not just the most common surname in many English-speaking countries
- In local translations, it's also the most common occupational surname in a large part of Europe
- Ironically, Smiths are so ubiquitous today because smiths were so special a few centuries ago
Meet the Smiths, Millers, Priests and Imams - the most popular occupational surnames across Europe.
Image: Marcin Ciura<p>Although very few people are smiths by profession these days, there are millions of Smiths by surname the world over. It's the most popular surname in Britain, Australia, New Zealand and the United States, as well as the second most popular surname in Canada and the fifth most popular one in Ireland. And they're a thriving bunch, at least in the U.S.: the 2010 Census (1) counted 2,442,977 Americans called Smith, 2.8% more than in 2000.</p><p>Curiously, 'Smith' also is one of the most popular surnames across most of Europe –translated in the various local vernaculars, of course. This map shows the most common occupational surnames in each country. By colour-coding the professions, this map shows a remarkable pro-smith consistency across Europe – as well as some curious regional exceptions.</p>
‘Smith’ popular throughout Europe<p>'Smith', in all its variations, is the most popular occupational surname throughout Europe. Not just in the UK, but also in:</p> <ul><li>Belgium (<em>Desmet</em>) and Luxembourg, (<em>Schmitt</em>);</li> <li>France (<em>Lefebvre</em>), Italy (<em>Ferrari</em>) and Portugal (<em>Ferreira</em>);</li> <li>Slovenia (<em>Kovačič</em>), Croatia (<em>Kovačevič</em>), Hungary (<em>Kovács</em>), Slovakia (<em>Kováč</em>), Poland (<em>Kowalski</em>), Lithuania (<em>Kavaliauskas</em>), Latvia (<em>Kalējs</em>) and Belarus (<em>Kavalyov</em>);</li> <li>Estonia (<em>Sepp</em>); and</li> <li>Russia (<em>Kuznetsov</em>).</li></ul>
‘Miller’ on top in many Germanic-language countries<p>'Miller' is the most popular occupational surname in many Germanic-language countries, but also in Spain and Ukraine (perhaps because the grain in both countries is mainly in the plain):</p> <ul><li>There's <em>Müller</em> (in Germany and Switzerland), <em>M</em><em>ø</em><em>ller</em> (in Denmark and Norway) and <em>Möller</em> (Sweden);</li> <li><em>Molina</em> (in Spain – the map also shows the most popular surname in Catalonia/Catalan: <em>Ferrer</em>, i.e. 'Smith'); and</li> <li><em>Melnik</em> (in Ukraine).</li></ul>
Clergy surnames rule in the Balkans<p>Catholic clergy must remain celibate, so 'Priest' as a surname is rare to non-existent throughout Europe. Except in the Balkans, where Catholicism is largely absent. Here, the Orthodox and Islamic clergies have passed on the title from father to son, eventually as a surname, to popular effect. Orthodox clergy are addressed as <em>papa</em> or <em>pope</em> (which means 'father' – so the surname rather redundantly translates to 'father's son'). Islamic teachers or imams are known by the Turkish/Persian term <em>hodzha</em>. An overview:</p> <ul><li><em>Popov</em> (in Bulgaria), <em>Popovic</em> (in both Serbia and Montenegro), <em>Popovski</em> (in Macedonia);</li> <li><em>Popa</em> (in Romania); </li> <li><em>Papadopoulos</em> (in Greece); and</li> <li><em>Hodžić</em> (in Bosnia-Herzegovina), <em>Hoxha</em> (in both Kosovo and Albania).</li></ul>
Landowners and other professions<p>Austria and the Czech Republic have different national languages but are neighbours and share a lot of history. Could that explain why they have a similar most popular occupational surname, for 'landowner'?</p> <ul><li><em>Huber</em> (in Austria) and</li> <li><em>Dvořák</em> (in the Czech Republic).</li></ul> <p>Just four professions, that wraps up all but five countries on this map. Those five each have their very own most popular occupational surname:</p> <ul><li><em>Bakker</em> (in the Netherlands): 'Baker'</li> <li><em>Kinnunen</em> (in Finland): 'Skinner'</li> <li><em>Ceban</em> (in Moldova): 'Shepherd'</li> <li><em>Avci</em> (in Turkey): 'Hunter'</li> <li><em>Murphy</em> (in Ireland): 'Sea Warrior' </li></ul>
Even more Smiths<p>Judging from the popularity of these surnames, your generic European village of a few centuries ago really couldn't do without a smithy. It was a much more essential craft even than that of the miller (or the baker, who put the miller's flour to good use) – except in the Balkans, where spiritual sustenance apparently sated a greater need. On the outskirts of <em>Anytown, Europe</em> live the shepherd and the hunter, the skinner and the pirate.<br></p><p>A bit too simplistic? Perhaps not simplistic enough. This map could have been dominated by even more Smiths. As the original poster explains, he always picked the most frequent version of an occupational surname, even if multiple variants point to a more popular alternative. </p><p>In the Netherlands, for instance, people with the surnames <em>Smit, Smits, Smid, de Smit, Smet </em>and <em>Smith</em> collectively outnumber those with the surnames <em>Bakker, Bekker, de Bakker</em> and <em>Backer</em>. So, the Netherlands could be considered another win for 'Smith' – except that the variant <em>Bakker</em> is more frequent than any other single variant.</p><p>Same story in Germany: added up, there are more people named <em>Schmidt, Schmitt, Schmitz </em>and <em>Schmid</em> than <em>Müller</em>. Ditto for Spain: <em>Herrero, Herrera </em>and <em>Ferrer</em> together outnumber <em>Molina</em>. Also in Finland, where <em>Seppä</em>, <em>Seppälä</em> and <em>Seppänen</em> together have a higher count than <em>Kinnunen</em>. </p>
Smiths in other cultures<p>'Smith' was a crucial occupation in other cultures too, judging from the familiar ring it has in these languages:<br></p><ul><li><em></em><em>Demirci</em> (Turkish)</li><li><em>Hadad</em> (Syriac, Aramaic, Arabic)</li><li><em>Nalbani</em> (Albanian)</li><li><em>McGowan</em> (Gaelic)</li><li><em>Faber</em> (Latin)<span></span></li></ul>
Other most popular surnames<p>Take note, though: 'Smith' may be the most popular surname in in the Anglosphere, this map does not mean to show that its variants in French, Russian and other languages also are the most popular surnames in the countries marked grey. They are merely the most popular <em>occupational</em> surnames.<br></p><p>As this sample of most common ones for each country shows, surnames can refer to a host of other things. Personal qualities or physical attributes, for example:</p> <ul><li>Russia: <em>Smirnov</em> ('the quiet one')</li> <li>Turkey: <em>Yilmaz</em> ('unflinching')</li> <li>Hungary: <em>Nagy</em> ('big')</li> <li>Italy: <em>Rossi/Russo</em> ('red', in northern and southern Italy, respectively)</li></ul> <p>Another option: the origin of the name-bearer (be it a place or a person):</p> <ul><li>Sweden: <em>Andersson</em> ('son of Anders')</li> <li>Slovakia: <em>Horvath</em> ('Croat')</li> <li>Kosovo: <em>Krasniqi</em> (refers to the Krasniq tribe and their mountainous home region)</li> <li>Portugal: <em>Silva</em> ('woodland')</li> <li>Latvia: <em>Bērziņš</em> ('little birch tree')</li> <li>Estonia: <em>Tamm</em> ('oak')</li></ul> <p>But sometimes, even for the most popular ones, the exact origin of the surname is lost in time:</p> <ul><li>Spain: <em>Garcia</em> (originally Basque, possibly meaning 'young', 'bear' or 'young bear')</li> <li>Finland: <em>Korhonen</em> ('hard of hearing' or 'dim-witted'; 'village elder'; 'proud'; 'upright'). </li></ul>
Smith popularity theory<p>So why exactly is Smith – and not Miller, for example – the most popular surname in many English-speaking countries? The theory propounded by historian C.M. Matthews in <em>History Today</em> (July 1967) probably also holds for the other-language variants so popular throughout Europe:<br></p><blockquote>"The reason for (the) multiplicity (of the surname 'Smith') is not so much that metal-workers were numerous as that they were important and widespread. On the skill of the smith, both rich and poor depended for the most essential things of life, the tools of husbandry and the weapons of hunting and war. Every community in the land must have one, every castle, every manor; and so distinctive was his trade that he would seldom need another name".<em></em></blockquote><p>That does not mean all people with the surname have a forefather who forged iron into weapons and farm tools. Especially in North America, 'Smith' was adopted by many people precisely because it was already common – as a secret identity or to blend in, for example by natives, slaves and immigrants.</p>
A recent analysis of a 76-million-year-old Centrosaurus apertus fibula confirmed that dinosaurs suffered from cancer, too.
- The fibula was originally discovered in 1989, though at the time scientists believed the damaged bone had been fractured.
- After reanalyzing the bone, and comparing it with fibulas from a human and another dinosaur, a team of scientists confirmed that the dinosaur suffered from the bone cancer osteosarcoma.
- The study shows how modern techniques can help scientists learn about the ancient origins of diseases.
Centrosaurus apertus fibula
Royal Ontario Museum<p>In the recent study, the team used a combination of techniques to analyze the fibula, including taking CT scans, casting the bone and studying thin slices of it under a microscope. The analysis suggested that the dinosaur likely suffered from osteosarcoma, a type of bone cancer that affects modern humans, typically young adults.</p><p>For further evidence, the team compared the damaged fibula to a healthy fibula from a dinosaur of the same species, and also to a fibula that belonged to a 19-year-old human who suffered from osteosarcoma. Both comparisons supported the osteosarcoma diagnosis.</p>
Evans et al.<p style="margin-left: 20px;">"The shin bone shows aggressive cancer at an advanced stage," Evans said in a <a href="https://www.rom.on.ca/en/about-us/newsroom/press-releases/rare-malignant-cancer-diagnosed-in-a-dinosaur" target="_blank">press release</a>. "The cancer would have had crippling effects on the individual and made it very vulnerable to the formidable tyrannosaur predators of the time."</p><p style="margin-left: 20px;">"The fact that this plant-eating dinosaur lived in a large, protective herd may have allowed it to survive longer than it normally would have with such a devastating disease."</p><p>The fossilized fibula was originally unearthed in a bonebed alongside the remains of dozens of other <em>Centrosaurus </em><em>apertus</em>, suggesting the dinosaur didn't die from cancer, but from a flood that swept it away with its herd.</p>
Dinosaur fibula; the tumor mass is depicted in yellow.
Royal Ontario Museum/McMaster University<p>The new study highlights how modern techniques can help scientists learn more about the evolutionary origins of modern diseases, like cancer. It also shows that dinosaurs suffered through some of the same terrestrial afflictions humans face today.</p><p style="margin-left: 20px;">"Dinosaurs can seem like mythical creatures, but they were living, breathing animals that suffered through horrible injuries and diseases," Evans said, "and this discovery certainly makes them more real and helps bring them to life in that respect."</p>
Join the lauded author of Range in conversation with best-selling author and poker pro Maria Konnikova!
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