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Tesla workers shared sensitive images recorded by customer cars between 2019 and 2022

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A sign at a Tesla facility in Taipei, Taiwan, on Aug. 11, 2017.TYRONE SIU/Reuters

Tesla Inc TSLA-Q assures its millions of electric car owners that their privacy “is and will always be enormously important to us.” The cameras it builds into vehicles to assist driving, it notes on its website, are “designed from the ground up to protect your privacy.”

But between 2019 and 2022, groups of Tesla employees privately shared via an internal messaging system sometimes highly invasive videos and images recorded by customers’ car cameras, according to interviews by Reuters with nine former employees.

Some of the recordings caught Tesla customers in embarrassing situations. One ex-employee described a video of a man approaching a vehicle completely naked.

Also shared: crashes and road-rage incidents. One crash video in 2021 showed a Tesla driving at high speed in a residential area hitting a child riding a bike, according to another ex-employee. The child flew in one direction, the bike in another. The video spread around a Tesla office in San Mateo, California, via private one-on-one chats, “like wildfire,” the ex-employee said.

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Other images were more mundane, such as pictures of dogs and funny road signs that employees made into memes by embellishing them with amusing captions or commentary, before posting them in private group chats. While some postings were only shared between two employees, others could be seen by scores of them, according to several ex-employees.

Tesla states in its online “Customer Privacy Notice” that its “camera recordings remain anonymous and are not linked to you or your vehicle.” But seven former employees told Reuters the computer program they used at work could show the location of recordings – which potentially could reveal where a Tesla owner lived.

One ex-employee also said that some recordings appeared to have been made when cars were parked and turned off. Several years ago, Tesla would receive video recordings from its vehicles even when they were off, if owners gave consent. It has since stopped doing so.

“We could see inside people’s garages and their private properties,” said another former employee. “Let’s say that a Tesla customer had something in their garage that was distinctive, you know, people would post those kinds of things.”

A Reuters special report found that between 2019 and 2022, groups of Tesla employees privately shared via an internal messaging system sometimes highly invasive videos and images recorded by customers’ car cameras, according to interviews with nine former employees.

Reuters

Tesla didn’t respond to detailed questions sent to the company for this report.

About three years ago, some employees stumbled upon and shared a video of a unique submersible vehicle parked inside a garage, according to two people who viewed it. Nicknamed “Wet Nellie,” the white Lotus Esprit sub had been featured in the 1977 James Bond film, “The Spy Who Loved Me.”

The vehicle’s owner: Tesla Chief Executive Elon Musk, who had bought it for about $968,000 at an auction in 2013. It is not clear whether Musk was aware of the video or that it had been shared.

Musk didn’t respond to a request for comment.

To report this story, Reuters contacted more than 300 former Tesla employees who had worked at the company over the past nine years and were involved in developing its self-driving system. More than a dozen agreed to answer questions, all speaking on condition of anonymity.

Reuters wasn’t able to obtain any of the shared videos or images, which ex-employees said they hadn’t kept. The news agency also wasn’t able to determine if the practice of sharing recordings, which occurred within some parts of Tesla as recently as last year, continues today or how widespread it was. Some former employees contacted said the only sharing they observed was for legitimate work purposes, such as seeking assistance from colleagues or supervisors.

The sharing of sensitive videos illustrates one of the less-noted features of artificial intelligence systems: They often require armies of human beings to help train machines to learn automated tasks such as driving.

Since about 2016, Tesla has employed hundreds of people in Africa and later the United States to label images to help its cars learn how to recognize pedestrians, street signs, construction vehicles, garage doors and other objects encountered on the road or at customers’ houses. To accomplish that, data labelers were given access to thousands of videos or images recorded by car cameras that they would view and identify objects.

Tesla increasingly has been automating the process, and shut down a data-labeling hub last year in San Mateo, California. But it continues to employ hundreds of data labelers in Buffalo, New York. In February, Tesla said the staff there had grown 54% over the previous six months to 675.

Two ex-employees said they weren’t bothered by the sharing of images, saying that customers had given their consent or that people long ago had given up any reasonable expectation of keeping personal data private. Three others, however, said they were troubled by it.

“It was a breach of privacy, to be honest. And I always joked that I would never buy a Tesla after seeing how they treated some of these people,” said one former employee.

Another said: “I’m bothered by it because the people who buy the car, I don’t think they know that their privacy is, like, not respected … We could see them doing laundry and really intimate things. We could see their kids.”

One former employee saw nothing wrong with sharing images, but described a function that allowed data labelers to view the location of recordings on Google Maps as a “massive invasion of privacy.”

David Choffnes, executive director of the Cybersecurity and Privacy Institute at Northeastern University in Boston, called sharing of sensitive videos and images by Tesla employees “morally reprehensible.”

“Any normal human being would be appalled by this,” he said. He noted that circulating sensitive and personal content could be construed as a violation of Tesla’s own privacy policy – potentially resulting in intervention by the U.S. Federal Trade Commission, which enforces federal laws relating to consumers’ privacy.

A spokesperson for the FTC said it doesn’t comment on individual companies or their conduct.

To develop self-driving car technology, Tesla collects a vast trove of data from its global fleet of several million vehicles. The company requires car owners to grant permission on the cars’ touchscreens before Tesla collects their vehicles’ data. “Your Data Belongs to You,” states Tesla’s website.

In its Customer Privacy Notice, Tesla explains that if a customer agrees to share data, “your vehicle may collect the data and make it available to Tesla for analysis. This analysis helps Tesla improve its products, features, and diagnose problems quicker.” It also states that the data may include “short video clips or images,” but isn’t linked to a customer’s account or vehicle identification number, “and does not identify you personally.”

Carlo Piltz, a data privacy lawyer in Germany, told Reuters it would be difficult to find a legal justification under Europe’s data protection and privacy law for vehicle recordings to be circulated internally when it has “nothing to do with the provision of a safe or secure car or the functionality” of Tesla’s self-driving system.

In recent years, Tesla’s car-camera system has drawn controversy. In China, some government compounds and residential neighbourhoods have banned Teslas because of concerns about its cameras. In response, Musk said in a virtual talk at a Chinese forum in 2021: “If Tesla used cars to spy in China or anywhere, we will get shut down.”

Elsewhere, regulators have scrutinized the Tesla system over potential privacy violations. But the privacy cases have tended to focus not on the rights of Tesla owners but of passers-by unaware that they might be being recorded by parked Tesla vehicles.

In February, the Dutch Data Protection Authority, or DPA, said it had concluded an investigation of Tesla over possible privacy violations regarding “Sentry Mode,” a feature designed to record any suspicious activity when a car is parked and alert the owner.

“People who walked by these vehicles were filmed without knowing it. And the owners of the Teslas could go back and look at these images,” said DPA board member Katja Mur in a statement. “If a person parked one of these vehicles in front of someone’s window, they could spy inside and see everything the other person was doing. That is a serious violation of privacy.”

The watchdog determined it wasn’t Tesla, but the vehicles’ owners, who were legally responsible for their cars’ recordings. It said it decided not to fine the company after Tesla said it had made several changes to Sentry Mode, including having a vehicle’s headlights pulse to inform passers-by that they may be being recorded.

A DPA spokesperson declined to comment on Reuters findings, but said in an e-mail: “Personal data must be used for a specific purpose, and sensitive personal data must be protected.”

Tesla calls its automated driving system Autopilot. Introduced in 2015, the system included such advanced features as allowing drivers to change lanes by tapping a turn signal and parallel parking on command. To make the system work, Tesla initially installed sonar sensors, radar and a single front-facing camera at the top of the windshield. A subsequent version, introduced in 2016, included eight cameras all around the car to collect more data and offer more capabilities.

Musk’s future vision is eventually to offer a “Full Self-Driving” mode that would replace a human driver. Tesla began rolling out an experimental version of that mode in October 2020. Although it requires drivers to keep their hands on the wheel, it currently offers such features as the ability to slow a car down automatically when it approaches stop signs or traffic lights.

In February, Tesla recalled more than 362,000 U.S. vehicles to update their Full Self-Driving software after the National Highway Traffic Safety Administration said it could allow vehicles to exceed speed limits and potentially cause crashes at intersections.

As with many artificial-intelligence projects, to develop Autopilot, Tesla hired data labelers to identify objects in images and videos to teach the system how to respond when the vehicle was on the road or parked.

Tesla initially outsourced data labelling to a San Francisco-based non-profit then known as Samasource, people familiar with the matter told Reuters. The organization had an office in Nairobi, Kenya, and specialized in offering training and employment opportunities to disadvantaged women and youth.

In 2016, Samasource was providing about 400 workers there for Tesla, up from about an initial 20, according to a person familiar with the matter.

By 2019, however, Tesla was no longer satisfied with the work of Samasource’s data labelers. At an event called Tesla AI Day in 2021, Andrej Karpathy, then senior director of AI at Tesla, said: “Unfortunately, we found very quickly that working with a third party to get data sets for something this critical was just not going to cut it … Honestly the quality was not amazing.”

A former Tesla employee said of the Samasource labelers: “They would highlight fire hydrants as pedestrians … They would miss objects all the time. Their skill level to draw boxes was very low.”

Samasource, now called Sama, declined to comment on its work for Tesla.

Tesla decided to bring data labelling in-house. “Over time, we’ve grown to more than a 1,000-person data labelling (organization) that is full of professional labelers who are working very closely with the engineers,” Karpathy said in his August 2021 presentation.

Karpathy didn’t respond to requests for comment.

Tesla’s own data labelers initially worked in the San Francisco Bay area, including the office in San Mateo. Groups of data labelers were assigned a variety of different tasks, including labelling street lane lines or emergency vehicles, ex-employees said.

At one point, Teslas on Autopilot were having difficulty backing out of garages and would get confused when encountering shadows or objects such as garden hoses. So some data labelers were asked to identify objects in videos recorded inside garages. The problem eventually was solved.

In interviews, two former employees said in their normal work duties they were sometimes asked to view images of customers in and around their homes, including inside garages.

“I sometimes wondered if these people know that we’re seeing that,” said one.

“I saw some scandalous stuff sometimes, you know, like I did see scenes of intimacy but not nudity,” said another. “And there was just definitely a lot of stuff that like, I wouldn’t want anybody to see about my life.”

As an example, this person recalled seeing “embarrassing objects,” such as “certain pieces of laundry, certain sexual wellness items … and just private scenes of life that we really were privy to because the car was charging.”

Tesla staffed its San Mateo office with mostly young workers, in their 20s and early 30s, who brought with them a culture that prized entertaining memes and viral online content. Former staffers described a free-wheeling atmosphere in chat rooms with workers exchanging jokes about images they viewed while labelling.

According to several ex-employees, some labelers shared screenshots, sometimes marked up using Adobe Photoshop, in private group chats on Mattermost, Tesla’s internal messaging system. There they would attract responses from other workers and managers. Participants would also add their own marked-up images, jokes or emojis to keep the conversation going. Some of the emojis were custom-created to reference office inside jokes, several ex-employees said.

One former labeler described sharing images as a way to “break the monotony.” Another described how the sharing won admiration from peers.

“If you saw something cool that would get a reaction, you post it, right, and then later, on break, people would come up to you and say, ‘Oh, I saw what you posted. That was funny,’” said this former labeler. “People who got promoted to lead positions shared a lot of these funny items and gained notoriety for being funny.”

Some of the shared content resembled memes on the internet. There were dogs, interesting cars, and clips of people recorded by Tesla cameras tripping and falling. There was also disturbing content, such as someone being dragged into a car seemingly against their will, said one ex-employee.

Video clips of crashes involving Teslas were also sometimes shared in private chats on Mattermost, several former employees said. Those included examples of people driving badly or collisions involving people struck while riding bikes – such as the one with the child – or a motorcycle. Some data labelers would rewind such clips and play them in slow motion.

At times, Tesla managers would crack down on inappropriate sharing of images on public Mattermost channels since they claimed the practice violated company policy. Still, screenshots and memes based on them continued to circulate through private chats on the platform, several ex-employees said. Workers shared them one-on-one or in small groups as recently as the middle of last year.

One of the perks of working for Tesla as a data labeler in San Mateo was the chance to win a prize – use of a company car for a day or two, according to two former employees.

But some of the lucky winners became paranoid when driving the electric cars.

“Knowing how much data those vehicles are capable of collecting definitely made folks nervous,” one ex-employee said.

 

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Maritime gas prices – CTV News Atlantic

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For the most part, drivers in the Maritimes are paying slightly less for gas Friday, but the cost of diesel is up.

NOVA SCOTIA

In mainland Nova Scotia, gas is down three cents to a minimum price of 152.9 cents per litre.

In Cape Breton, motorists are now paying a minimum price of 154.8 cents per litre for regular self-serve gasoline.

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Diesel increased 2.5 cents, the minimum price is now 137.7 cents per litre.

The minimum price for diesel in Cape Breton is now 139.6 cents per litre.

PRINCE EDWARD ISLAND

On Prince Edward Island, gas increased 1.1. cents, the minimum price is now 165.6 cents per litre.

Diesel on the island increased 1.5 cents, the minimum price is now 157.5 cents.

NEW BRUNSWICK

Meanwhile, in New Brunswick, gas is down 2.4 cents, the maximum price is now 164.6 cents per litre.

Diesel is up slightly to 0.6 cents, the maximum price is now 158.6 cents a litre. 

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NL Unemployment Rate Slightly Rises – VOCM

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Statistics Canada says the unemployment rate rose to 5.2 per cent in May, marking the first increase since August 2022.

The rate for Newfoundland and Labrador rose slightly to 10.2 per cent from 10.1. In metro, the jobless rate in May hit 5 per cent, a slight increase from the 4.9 recorded in April.

The job report comes two days after the Bank of Canada raised its key interest rate by a quarter of a percentage point, citing concerns about a string of hot economic data, including low unemployment.

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May jobs numbers not enough to change Bank of Canada’s course: Experts

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Canada’s labour market showed minor signs of softening in May, but economists and other experts said the Bank of Canada likely wouldn’t read the numbers as a sign that its rate-tightening campaign aimed at bringing down inflation is working.

Unemployment rose to 5.2 per cent from five per cent, the first increase since last August, according to the Statistics Canada Labour Force Survey for May.

The numbers released Friday said the economy lost 17,000, though employment overall was little changed.

Randall Bartlett, senior director of Canadian economics at Desjardins, cautioned that job losses were concentrated among the youngest workers in Canada as they enter the summer jobs season, and “not necessarily characteristic of what we’re seeing in the underlying labour market.” He said the job losses can’t yet be seen as a “trend.”

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“We need to see how this shakes out in the months ahead, and then we’ll decide what it means for monetary policy,” Bartlett told BNN Bloomberg in a television interview.

Dominique Lapointe with Manulife Investment Management noted “small loss” mostly among the younger age group of workers should be interpreted with caution, as seasonal adjustments can be challenging for that demographic. He also pointed out that employment rose among core-aged workers.

WHAT DOES IT MEAN FOR THE BANK OF CANADA?

The jobs numbers came days after the Bank of Canada resumed its interest rate tightening cycle, hiking its key rate by a quarter of a percentage point to 4.75 per cent after a string of unexpectedly hot economic data.

Lapointe said he is expecting another rate hike next month based on recent inflation and GDP readings. He said the jobs numbers aren’t significant enough to change the central bank’s path.

“I don’t think this morning’s (Labour Force Report) report would change what’s going to happen in July. We’d probably need to see way more weakness in other economic indicators before the next meeting for them to change their course,” he said.

Jay Zhao-Murray, FX Analyst at Monex Canada, noted that the data that went against economists’ expectations for job gains in May, but agreed that the numbers wouldn’t shift the central bank’s thinking.

“With employment cooling on the whole, this latest report does weaken the case for further hikes from the Bank of Canada, but given the details and composition of employment changes, we do not think it would materially change the Bank’s latest view on the economy,” he said in a written statement.

He said he is expecting another 25-basis-point rate hike from the Bank of Canada in July, “unless the subsequent data also confirm the negative signal from today’s report.”

Economist Tuan Nguyen of RSM Canada, meanwhile, said “there are reasons to believe that May’s decline in net jobs is not a fluke,” given that most of the job losses were in business, professional services, and trades.

Taken with an uptick in the unemployment rate, he pointed to signs that “a long-awaited softening of the labor market has finally arrived.”

“Following Friday’s job data, the Bank of Canada’s decision to hike the rate to 4.75 per cent … might be the last one in this cycle. Nevertheless, we continue to believe that rates should remain at that level at least until the end of the year to ensure substantial easing of inflation,” Nguyen said in a written statement.

WAGES

Wages, which the Bank of Canada has zeroed in on as a particular concern in its inflation fight, rose 5.1 per cent year-over-year in May.

Bartlett made the case that wage growth in Canada is more “subdued” than it might appear.

He noted that StatsCan’s monthly wage reading is one of several wage indicators that the Bank of Canada looks at, and others appear to be decelerating more quickly, meaning that “wages are not the concern we had anticipated” when it comes to the possibility of a “wage-price spiral” some economists fear could push inflation higher.

Regardless, Bartlett said he expects the Bank of Canada will interpret the labour force reading as a sign that Canada’s labour market remains “very tight.”

“It needs to see the unemployment rate move meaningfully higher (and) the job vacancy rate move meaningfully lower in order to be able to see wage growth come down to a level that’s consistent with two per cent inflation,” he said.

CONSUMER SPENDING CLUES

As for the sectors where people lost jobs in May, Bartlett said the data holds clues that Canadians are still spending money despite the high-interest rate environment.

“It’s not necessarily in sectors where you would think tight monetary policy and higher interest rates would be leading to job losses,” Bartlett said.

Accommodation, food services, arts and recreation were not hit particularly hard with losses, but those are areas where people generally cut back on spending in tough economic times, Bartlett said.

“We may see the consumer continue to be relatively healthy in the second quarter, and it may be maybe pointing to that still,” he said.

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