Archives June 2021

When U.S. law enforcement officials need to cast a wide net for information, they’re increasingly turning to the vast digital ponds of personal data created by Big Tech companies via the devices and online services that have hooked billions of people around the world.

Data compiled by four of the biggest tech companies shows that law enforcement requests for user information — phone calls, emails, texts, photos, shopping histories, driving routes and more — have more than tripled in the U.S. since 2015. Police are also increasingly savvy about covering their tracks so as not to alert suspects of their interest.

That’s the backdrop for recent revelations that the Trump-era U.S. Justice Department sought data from Apple, Microsoft and Google about members of Congress, their aides and news reporters in leak investigations — then pursued court orders that blocked those companies from informing their targets.

In just the first half of 2020 — the most recent data available — Apple, Google, Facebook and Microsoft together fielded more than 112,000 data requests from local, state and federal officials. The companies agreed to hand over some data in 85% of those cases. Facebook, including its Instagram service, accounted for the largest number of disclosures.

Consider Newport, a coastal city of 24,000 residents that attracts a flood of summer tourists. Fewer than 100 officers patrol the city — but they make multiple requests a week for online data from tech companies.

That’s because most crimes — from larceny and financial scams to a recent fatal house party stabbing at a vacation rental booked online — can be at least partly traced on the internet. Tech providers, especially social media platforms, offer a “treasure trove of information” that can help solve them, said Lt. Robert Salter, a supervising police detective in Newport.

Contract drivers say algorithms terminate them by email—even when they have done nothing wrong.

Stephen Normandin spent almost four years racing around Phoenix delivering packages as a contract driver for Amazon.com Inc. Then one day, he received an automated email. The algorithms tracking him had decided he wasn’t doing his job properly.

The 63-year-old Army veteran was stunned. He’d been fired by a machine.

Normandin says Amazon punished him for things beyond his control that prevented him from completing his deliveries, such as locked apartment complexes. Amazon assigned him some pre-dawn deliveries at apartment complexes when their gates were still locked, a common complaint among Flex drivers. The algorithm instructs drivers in such instances to deliver packages to the main office, but that wasn’t open either. Normandin called the customer as instructed—a long shot because most people don’t answer calls from unfamiliar numbers, especially early morning. He called driver support, which couldn’t get through to the customer either. Meanwhile, the clock was ticking, and the algorithm was taking note.

When Ryan Cope was deactivated in 2019, he didn’t bother arguing or consider paying for arbitration. By then, Cope had already decided there was no way he could meet the algorithms’ demands. Driving miles along winding dirt roads outside Denver in the snow, he often shook his head in disbelief that Amazon expected the customer to get the package within two hours.

When drivers do challenge poor ratings, they can’t tell if they’re communicating with real people. Responses often include just a first name or no name at all, and the replies typically apply to a variety of situations rather than a specific problem. Even if a name is attached, a machine most likely generated the first few email responses, according to people familiar with the matter.

When human managers get involved, they typically conduct a hasty review—if they do one at all—because they must meet their own performance standards. A former employee at a driver support call center said dozens of part-time seasonal workers with little training were assigned to oversee issues for millions of drivers.

A data center can easily use up to 1.25 million gallons of water each day — and “More data centers are being built every day by some of America’s largest technology companies,” reports NBC News, “including Amazon, Microsoft and Google and used by millions of customers.”

Almost 40 percent of them are in the United States, and Amazon, Google and Microsoft account for more than half of the total. The U.S. also has at least 1,800 “colocation” data centers, warehouses filled with a variety of smaller companies’ server hardware that share the same cooling system, electricity and security, according to Data Center Map. They are typically smaller than hyperscale data centers but, research has shown, more resource intensive as they maintain a variety of computer systems operating at different levels of efficiency.

Many data center operators are drawn to water-starved regions in the West, in part due to the availability of solar and wind energy. Researchers at Virginia Tech estimate that one-fifth of data centers draw water from moderately to highly stressed watersheds, mostly in the Western United States, according to a paper published in April…

The growth in the industry shows no signs of slowing. The research company Gartner predicts that spending on global data center infrastructure will reach $200 billion this year, an increase of 6 percent from 2020, followed by 3-4 percent annually over the next three years. This growth comes at a time of record temperatures and drought in the United States, particularly in the West. “The typical data center uses about 3-5 million gallons of water per day — the same amount of water as a city of 30,000-50,000 people,” said Venkatesh Uddameri, professor and director of the Water Resources Center at Texas Tech University. Although these data centers have become much more energy and water efficient over the last decade, and don’t use as much water as other industries such as agriculture, this level of water use can still create potential competition with local communities over the water supply in areas where water is scarce, he added…

Sergio Loureiro, vice president of core operations for Microsoft, said that the company has pledged to be “water positive” by 2030, which means it plans to replenish more water than it consumes globally. This includes reducing the company’s water use and investing in community replenishment and conservation projects near where it builds facilities.

Amazon did not respond to requests for comment.