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Better than AI? The UK police who never forget a face

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Better than AI? The UK police who never forget a face

Artificial intelligence and facial recognition software are seen by some as the future of crime-fighting around the world.

But British police say it has to go hand in hand with more traditional methods of detection, including the use of so-called “super-recognisers”.

Forces across the country have been using officers who have an exceptional memory for faces and an above-average ability to identify people.

Only one percent of the population has the “super-power”, said Tina Wallace, a surveillance expert with Thames Valley Police.

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Her team began recruiting the specialist officers in 2017 and now have about 20 on their books, including Alex Thorburn, an officer for 17 years.

“I’ve always been good with faces. So when they put a notice out about the tests, I did it!” Thorburn told AFP.

“I was shown pictures, dated between 10 and 30 years old, of 10 people. I had to find them in the crowd in the shopping centre.

“I found them all, but they looked a lot different to how they did in the photos. That was really interesting.”

The team works on screens, using security camera footage, but is also sent out into the field.

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For the coronation of King Charles III, Thorburn was sent out into the crowds at Windsor Castle, west of London.

“We were deployed… to go and see if there were any people who were fixated with the royal family,” she recalled.

“We were shown quite a large number of images to see if they were there and they’re going to cause any problems. But luckily, we didn’t have any.”

“It’s a cheap and effective way to tackle crime,” said Mike Neville, who set up the first team of super-recognisers at London’s Metropolitan Police.

Now retired, Neville runs Super Recognisers International, which bills itself as “the world leaders in human recognition”.

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Successes
One of the first major successes was in 2011, during the widespread rioting sparked by the death of a black man shot dead by police in London.

Police had to scour some 200,000 hours of security camera footage.

“Twenty officers identified 600 of the London rioters,” said Josh Davis, a professor in applied psychology at the University of Greenwich.

One police officer who was an expert on gangs recognised an astonishing 180 offenders by analysing the images.

Some he had never seen in person. Others had part of their faces hidden, said Davis, who is a member of Neville’s association.

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Thames Valley Police covers more than 2,200 square miles (5,700 square kilometres) west and northwest of London with a population of 2.34 million.

It is deploying its “super-recognisers” at set times outside bars and nightclubs to spot known perpetrators of sexual assault.

“We use officers in plainclothes and they’re looking for specific behaviours,” explained Wallace, a police officer for 26 years, at the force’s training centre near Reading.

“When we see a predatory behaviour, we call in the uniform team to stop it happening.

“Two in every five men we stopped have got previous convictions for rape or serious sexual assault. We’ve stopped 520 in three years.”

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No competition
As AI and facial recognition technology develops at pace, human skills should not be discounted, insisted Neville.

“It isn’t really a competition with facial recognition,” he said. “They can be used together.

“AI is good with high-quality, front-on images (as with passports at airport e-gates).

“Humans are better with lower quality images, where the face is at an angle or partly covered with sunglasses or a mask.”

“Also note that under UK and EU law, AI identifications have to be verified by a human before an arrest is made.

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“Most people, in a democracy, would be happier if people made the decision to detain someone, rather than a computer.”

According to Neville, demand for super-recognisers is growing, particularly from police forces in Germany and Australia.

Professor Davis has posted a basic 14-point test online for anyone curious to check if they have the powers of recall that makes them a super-recogniser.

“If you get less than 10 or 12, you are not going to be a super-recogniser,” he said.

“But if you reach 14, contact me please!”

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Don’t worry if your Android gets stolen, new Theft Detection Lock comes to rescue

Don’t worry if your Android gets stolen, new Theft Detection Lock comes to rescue

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Don't worry if your Android gets stolen, new Theft Detection Lock comes to rescue

Google revealed plans to introduce a ground-breaking security feature for Android devices: Theft Detection Lock at the Google I/O 2024 developer conference held on Wednesday.

This innovative addition is specifically designed to combat the rising threat of smartphone theft by automatically locking the device when suspicious activity is detected.

Powered by artificial intelligence, Theft Detection Lock utilizes advanced algorithms to identify common motions associated with theft.

For instance, if a device suddenly begins moving rapidly in the opposite direction, indicative of a potential theft scenario, the feature swiftly triggers a screen lock mechanism.

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This proactive measure aims to thwart thieves from easily accessing sensitive user data stored on the device.

In addition to Theft Detection Lock, Google also announced the introduction of an Offline Device Lock feature. This functionality serves as a safeguard against intentional disconnection from the network, a common tactic employed by thieves to bypass security measures.

Instances such as repeated failed authentication attempts will prompt the Offline Device Lock, providing an added layer of protection for users’ devices.

Google revealed plans to enhance device security with measures aimed at preventing remote factory resets initiated by thieves.

Under the forthcoming update, if a thief attempts to reset a stolen device, they will be unable to set it up again without the necessary device or Google account credentials. This strategic move renders stolen devices essentially unsellable, significantly diminishing the incentives for phone theft.

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Tesla must face vehicle owners’ lawsuit over self-driving claims

Tesla must face vehicle owners’ lawsuit over self-driving claims

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Tesla must face vehicle owners' lawsuit over self-driving claims

A U.S. judge on Wednesday rejected Tesla’s bid to dismiss a lawsuit accusing Elon Musk’s electric car company of misleading owners into believing that their vehicles could soon have self-driving capabilities.

The proposed nationwide class action accused Tesla and Musk of having since 2016 falsely advertised Autopilot and other self-driving technology as functional or “just around the corner,” inducing drivers to pay more for their vehicles. 

U.S. District Judge Rita Lin in San Francisco said owners could pursue negligence and fraud-based claims, to the extent they relied on Tesla’s representations regarding vehicles’ hardware and ability to drive coast-to-coast across the U.S.

Without ruling on the merits, Lin said that “if Tesla meant to convey that its hardware was sufficient to reach high or full automation, the plainly alleges sufficient falsity.”

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The judge dismissed some other claims.

Tesla and its lawyers did not immediately respond to requests for comment. Lawyers for Tesla vehicle owners did not immediately respond to similar requests.

The case was led by Thomas LoSavio, a retired California lawyer who said he paid an $8,000 premium in 2017 for Full Self-Driving capabilities on a Tesla Model S, believing it would make driving safer if his reflexes deteriorated as he aged.

LoSavio said he was still waiting for the technology six years later, with Tesla remaining unable “even remotely” to produce a fully self-driving car.

The lawsuit seeks unspecified damages for people who since 2016 bought or leased Tesla vehicles with Autopilot, Enhanced Autopilot and Full Self-Driving features.

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Tesla has for many years faced federal probes into whether its self-driving technology might have contributed to fatal crashes.

Federal prosecutors are separately examining whether Tesla committed securities fraud or wire fraud by misleading investors about its vehicles’ self-driving capabilities, according to three people familiar with the matter.

Tesla has said Autopilot lets vehicles steer, accelerate and brake in their lanes, and Full Self-Driving lets vehicles obey traffic signals and change lanes.

But it had acknowledged that neither technology makes vehicles autonomous, or excuses drivers from paying attention to the roads.

The case is In re Tesla Advanced Driver Assistance Systems Litigation, U.S. District Court, Northern District of California, No. 22-05240.

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Microsoft asks hundreds of China staff to relocate

Microsoft asks hundreds of China staff to relocate

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Microsoft asks hundreds of China staff to relocate

Microsoft is asking about 700 to 800 people in its China-based cloud-computing and artificial-intelligence operations to consider transferring outside the country, the Wall Street Journal reported on Thursday.

The employees, mostly engineers with Chinese nationality, were earlier in the week offered an option to transfer to countries including the U.S., Ireland, Australia and New Zealand, the report said, citing people familiar with the matter.

The move comes amid spiralling US-China relations as the Biden administration cracks down on various sectors of Chinese imports, including electric vehicle (EV) batteries, computer chips and medical products.

A Microsoft spokesperson told the Journal that providing internal opportunities is part of its global business and confirmed the company had shared an optional internal transfer opportunity with a subset of employees. 

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Reuters reported earlier this month that the U.S. Commerce Department is considering a new regulatory push to restrict the export of proprietary or closed source AI models, whose software and the data it is trained on are kept under wraps.

The spokesperson, however, told the newspaper that the company remains committed to the region and will continue to operate in China.

Microsoft didn’t immediately respond to a Reuters request for comment.

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