Arquivo da tag: Monitoramento

The US spent billions on border surveillance. Why can’t it catch people before they die? (MIT Technology Review)

Original piece

Artificial intelligence

Surveillance towers, increasingly powered by AI, promised faster responses to crossings. Our investigation of deaths near the towers found they are failing to deliver.

by  James O’Donnell and Eileen Guo

September 21, 2026

When José Morales Bernal crossed the border into the United States on April 8, 2024, the day before his 32nd birthday, it should have triggered a chain of technological alerts and human responses. 

As he walked through the desert in southern New Mexico that morning, he was within range of three surveillance towers. Newly installed by US Customs and Border Protection (CBP), they were built by the defense tech company Anduril and equipped with cameras and AI to automatically detect and track people. They transmit live video to nearby control rooms and can send alerts to the government-issued smartphones held by agents in the area, prompting the closest available to respond.


This story is part of Dying on Camera, a collaboration between MIT Technology Review and Times of San Diego. Journalists in both newsrooms spent the past year examining the failures of border surveillance technology and uncovering the stories of the people who die in the borderlands.


These AI-enabled towers are meant to give greater visibility across the 1,951-mile southern border, freeing up border agents from having to spend hours staring into video monitors. They were installed in this particular place to spot border crossers before they reached the nearby town of Sunland Park.

If the system worked as intended, Morales should have been apprehended. If he needed medical help, agents were trained to provide it.

View from the grid location where a body was found towards Border Patrol Surveillance Tower 022, along the southern U.S. border in Sunland Park, New Mexico.
The view from where José Morales Bernal’s body was found toward a Customs and Border Protection surveillance tower made by Anduril, along the southern US border in Sunland Park, New Mexico.

That didn’t happen. Despite the nearby surveillance towers, it was employees of the local landfill, rather than Border Patrol, who first spotted Morales that morning. At 1 p.m. the workers saw him again, now lying in the sand. At 4 p.m. the landfill workers saw that he had not moved and called Border Patrol. Agents arrived 45 minutes later. He was dead. When an agent then called 911 to report the body, he said it was “probably one of the migrants crossing through there,” seemingly unaware that Morales had been moving near the agency’s surveillance systems earlier that day. 

Audio: The agent can be heard sounding unsure of Morales’ location despite the proximity of an AI-powered surveillance camera. The call has been edited for length.

Morales had died just 360 feet from the closest surveillance tower. Two more towers stood watch to the east and the west. An autopsy later concluded that he had died of “environmental exposure.” 

The towers surrounding Morales were only the latest addition to the “virtual wall” the government has spent 25 years and billions of dollars building along the entire border, which also includes earlier generations of towers with more basic features, as well as blimps, drones, seismic sensors, and even tunnel-sensing robots. Together, all this technology provides “persistent surveillance” and “situational awareness” to help the Border Patrol quickly and accurately detect people crossing and, crucially, make sure agents are sent to intercept them. CBP has also credited it with saving lives.

But a first-of-its-kind investigation by MIT Technology Review reveals that deaths like Morales’s are startlingly common. We cross-referenced nearly 4,000 locations where human remains were found—drawn from records collected by nonprofit groups like No More Deaths and Humane Borders, as well as hundreds of records we obtained in Texas—with information on nearly 600 towers identified by the Electronic Frontier Foundation. We considered when towers were installed and when each person is estimated to have died, and combined this information with field reporting from the border. The result is the first comprehensive map and analysis of deaths near CBP surveillance towers. 

Our investigation shows that a humanitarian crisis at the border has unfolded in view of the government’s own cameras.

José Morales Bernal died the day before his 32nd birthday.

We found more than 1,050 people who died within range of border surveillance towers between 2015 and early 2026. These deaths are not failures of a few towers or technologies: We found deaths within the advertised range of nearly two-thirds of all the towers we analyzed. Our topographical analysis—which assessed the degree to which terrain might block a tower’s view of a particular death and its surveillance area in general—found that some have sight of as little as 10% of their advertised surveillance area, and yet we also found most deaths did not occur in towers’ blind spots. These deaths are not the result of legacy systems, as our estimate found more than 110 people have died within range of modern autonomous towers from Anduril, among the most advanced systems CBP has deployed, since 2021.

The overall picture reveals repeated failures of one of the virtual wall’s basic security functions, as CBP has described it in press releases: to effectively identify and locate migrants entering illegally into the United States. 

The year that Morales died, 18 other people died in that same stretch of desert in range of the three Anduril towers. Five were visible from the same surveillance tower closest to where his body was discovered.

One man, after walking a mile past the border and in range of two AI towers, dragged his 30-year-old brother into the shade when he began having trouble breathing, according to records we obtained from the medical examiner. The two were spotted by Border Patrol only when the man waved down a helicopter for help; by the time agents arrived, his brother was already dead. A 24-year-old woman died near another Anduril tower, where our terrain analysis showed it should have had clear sight of her location. Her body lay unnoticed for weeks; it was decomposed, and blistered by the summer heat, when it was spotted by agents patrolling the area. 

A few miles west, and a short drive from a Border Patrol station, four other AI towers stood watch. Near them, 10 more bodies were found that year, all in locations where at least one tower had a clear view.


Dying on Camera: see map.

In response to a list of questions, an Anduril spokesperson replied that once a tower is delivered, it is operated by CBP, and directed questions about specific incidents to the agency. The response noted that an incident occurring nearby does not mean the tower missed a detection and said actual surveillance ranges vary depending on terrain, physical obstructions, and the boundaries CBP sets for where the tower should look (CBP is able to set virtual boundaries on towers’ views for privacy and other reasons). The Anduril spokesperson also alleged inaccuracies in our reporting, given those boundaries and obstructions, but did not respond to follow-up questions on what was inaccurate.

The most pressing question in any death near the virtual wall is whether authorities knew someone was there and failed to reach them or weren’t aware anyone was crossing at all. Either is a system failure. And the deaths we found capture only the failures that left a trace—we don’t know how many people pass through undetected, or how many bodies remain undiscovered.

Interviews with more than 45 people—including current and former White House advisors and presidential appointees, Border Patrol agents, medical examiners, sheriffs, humanitarian volunteers, and employees of tech companies—showed that both types of failures are occurring: The technology is failing to detect, and agents are failing to respond. Both show the limits of throwing technology at a complex problem. 

The findings reveal previously unreported issues with the virtual wall, even as it continues to enjoy broad political support and a surge in federal spending. Border security hardliners have long seen it as another tool for stopping smugglers moving drugs or people, while others tout it as a cheaper alternative to a physical wall. In 2023, the government estimated that its plans for using the towers, which now number 803, would cost $6.2 billion over their lifespan. With the historic levels of funding it was awarded in 2025, CBP plans to spend $1 billion for 1,497 more towers by 2034.

But our reporting shows that CBP has done little to assess how its towers are working or how many people have died where they keep watch.

Officials who oversaw border security across the last four presidential administrations told us they believed deaths near the so-called virtual wall were either exceedingly rare or nonexistent. But our reporting shows that is not the case. None could point to any comparable analysis the government had ever conducted on its own. Former agents and officials also told us that when someone’s body is found, CBP does not formally investigate whether surveillance should have detected them or, if they were detected, why agents didn’t reach them before they died. 

In response to nearly 30 questions about our findings, which covered multiple generations of technology, Hilton Beckham, CBP’s assistant commissioner for public affairs, said, “Autonomous surveillance towers use artificial intelligence to detect and classify people, vehicles, and animals and alert Border Patrol agents to activity in monitored areas … ASTs complement physical barriers and other border security infrastructure by improving detection and situational awareness between ports of entry. CBP evaluates the technology based on its impact on detection, response coordination, agent safety, and mission outcomes.”

“I’m sure that the cameras and other surveillance assets do deliver … useful intelligence and enhance operational efficacy in some places, under some conditions, in certain circumstances,” says Geoff Boyce, an assistant professor of geography at University College Dublin who has studied surveillance technology used at the US southern border. “I’m also absolutely positive—because this has been the track record—it is not delivering the level of operational support, information, or efficacy that either the companies delivering these infrastructures or the Border Patrol and Department of Homeland Security claim.” 

We also reached out to multiple lawmakers from both parties with a summary of our findings. In response, Delia Ramirez, a Democrat representing Illinois’s 3rd district who sits on the House Homeland Security Committee, said, “AI-powered surveillance technologies are not making us safer. Yet DHS continues to spend millions of taxpayer dollars on these ineffective, negligent technologies, with no commitment to oversight or transparency … It is clear we must terminate CBP’s integrated surveillance tower program and dismantle DHS.”

Building the virtual wall

Since its earliest efforts to police the border with Mexico, the US government has faced the same basic challenge: How do you effectively secure nearly 2,000 miles of remote and rugged terrain? It has increasingly turned to technology for answers.

Gerardo Galvan joined Border Patrol in 1995, as the government was undertaking an unprecedented expansion of border enforcement. In 1993, President Clinton’s first year in office, the agency mobilized huge numbers of agents to guard the country’s urban borders, starting in El Paso, Texas. That pushed more crossings to rural, unpopulated areas—which quickly proved to be far more deadly because of the rugged desert terrain, extreme temperatures, scarcity of water and the long, indirect routes often used by smugglers.

Stopping these remote crossings was a new law enforcement challenge for the agency, especially given the limited technology available at the time. “We had radios,” says Galvan, who would go on to be the head of operations for the El Paso sector—not the cell phones or GPS systems agents have today. They relied on underground sensors left over from the Vietnam War to alert them to movement.

The biggest technology rollout of Galvan’s early career started around 1998. That was when Border Patrol began installing its first video cameras that agents could remotely pan and zoom. They were mounted on metal structures similar to cell-phone towers, 60 to 80 feet tall, or on buildings in urban areas. 

“For the first time, somebody sitting in a room somewhere was able to surveil large swaths of area without being dependent on getting an agent out there with binoculars,” says Matthew Hudak, a former deputy chief of Border Patrol who was working as a frontline agent at the time. “That was a very significant game changer, and for the most part, it was a huge, huge advance.”

This early iteration of the virtual wall was a big deal: In its first eight years, 200 towers were installed along the southern border at a cost of more than $429 million. But the system’s flaws were obvious to anyone who used it.

“There could be … 30 screens on a wall,” says Mark Borkowski, who managed CBP contracting, including the surveillance tower program. Each camera might be capable of seeing three or five miles in any direction. The agent was expected to keep eyes on all that space—upwards of 850 square miles.

Monitors inside the cab of a Border Patrol truck shows a portion of the U.S.-Mexico border in Sunland Park, N.M., Thursday, June 6, 2019.
Monitors inside the cab of a Border Patrol truck show a portion of the US-Mexico border in Sunland Park, New Mexico, on Thursday, June 6, 2019.

“Well, what are the chances after 20 minutes that those Border Patrol agents would see an explosion on one of those screens?” Borkowski says. “About zero.” 

When these cameras were first being put up, the plan was to pair them eventually with a system that would automatically direct them toward places where sensors picked up activity, so agents would know where to look. But by 2005, the DHS inspector general said that still hadn’t materialized, and that illegal activity might “go unnoticed” unless agents were actively watching the cameras. Nonetheless, more towers were installed, forming what is today known as the Remote Video Surveillance System (RVSS). In 2013, the defense giant General Dynamics won a contract worth up to $103 million to overhaul and expand RVSS along the border, becoming the primary contractor behind the system that remains in use today. (That contract eventually grew to a ceiling of $216 million, and the company received another award in 2023 worth up to $135 million.)

General Dynamics would install more cameras, better sensors, and additional towers. But the problem identified nearly 15 years before remained unsolved. It was information overload: One agent told MIT Technology Review about an incident in San Diego in which cameras captured a group of 30 crossing the border and getting picked up in a van, all unnoticed by the agent monitoring those cameras. Agents said the virtual wall was bringing more of the border into view than they could reasonably pay attention or respond to. 

The camera room was also the job nobody wanted. New Border Patrol agents, often in their early 20s, want to be outside in trucks and ATVs, not sitting in a dark room watching screens—even though the expanding virtual wall increasingly required someone to do exactly that. “Someone that’s injured and can’t go out into the field—we’ll send them to the camera room,” says Rafael Reyes, who was in charge of the Border Patrol station in Deming, New Mexico, until 2024. 

Reyes says it was also a job his agents were often too busy to do properly. His station area had about 30 cameras, and the agents responsible for them also had to monitor sensor alerts and radio traffic, run records checks, and coordinate with other agents. “Then if they have some time, they’ll monitor the cameras,” he says. 

Not only that, but many cameras didn’t work. At Reyes’s station in New Mexico, five of the 30 cameras were broken on any given day, he says. Others had limited functionality; they might be capable of looking in just one direction or seeing only in the daytime. Jaime Fierro, a former agent who worked in the Laredo sector in Texas until 2025, said the broken towers were tanking morale among agents and that they brought it up at every staff meeting. “That was like basically having an eye shut for us on the border,” he says. 

Retired Border Patrol agent Rafael Reyes in El Paso, TX.
Rafael Reyes, who oversaw a Border Patrol station in New Mexico, says his agents often had too many other responsibilities to monitor the cameras properly.

They weren’t alone: In 2024, members of the House Committee on Homeland Security wrote that more than 66% of Border Patrol’s first-generation towers were unusable, despite operating budgets of $50 million to $100 million each year. In January 2026, 30% remained broken, one congressional staffer told MIT Technology Review. The RVSS program was estimated in 2020 to have a total cost of $3.7 billion.

Border Patrol has nonetheless publicly credited these cameras with helping to save lives. The agency has published dozens of press releases, dating as far back as 2016, about instances when agents responded to people seen in distress on the remote video cameras. Despite these publicized wins, the bodies began to pile up, undetected, beneath these systems’ watchful gaze.

Near El Cenizo, Texas, there’s a roughly 13-square-mile expanse of mesquite bushes and grasses described by the Webb County Sheriff’s Office as containing sections of Hachar Ranch and Espejo Ranch. It’s surrounded by seven RVSS systems. It was nonetheless a hot spot for fatalities: MIT Technology Review found that 19 people died there, including one man who died less than 500 feet from the road bordering the ranches and half a mile from two schools. In each of these cases, narratives that we obtained via public records requests describe officers’ learning of these people only after their bodies were discovered or through 911 calls reporting them missing, not as a result of the border surveillance technology installed across Hachar Ranch. 

In response to a list of questions about its towers and these specific incidents, General Dynamics referred us to CBP. CBP did not address any of our questions about RVSS towers.  

Stories of some of the people that died near RVSS towers

Many deaths near RVSS towers happened in Texas, in the heavily surveilled corridors between the Rio Grande and the nearby highways, where paid smugglers often organize pickups after crossings. Cameras watch many of the spots where people are known to cross, often looking across the river into Mexico to spot them before they reach the water. Drownings are common; we found multiple cases in which local fishermen hooked the bodies of people who had died attempting the crossing.

In one instance, a family of three from Brazil attempted to cross the Rio Grande near Del Rio, Texas, in 2022. The father, Daniel Lenda, was carrying his two-year-old daughter, Eloah, on his shoulder when he fell in the water. The mother, 23-year-old Thais Natali Montenegro Lenda, lifted Eloah out of the water as she watched her husband disappear. 

She placed the girl, now unresponsive, on a rock and went for help. She was just 100 feet from one camera system and a third of a mile from two others, set up precisely to enable faster apprehensions at a popular crossing point. Our topographical analysis shows that all three cameras had a clear view of the place where the family crossed and exited the water. Nonetheless, Thais Natali was not spotted until she waved down an agent on the Del Rio-Acuña bridge. The agent provided CPR to the toddler, who did not survive. Daniel’s body was found days later. 

Val Verde County sheriff Joe Frank Martínez responded to that case (though Border Patrol might discover bodies, local law enforcement is responsible for investigating the deaths). He grew up in the area with his nine siblings and has been sheriff since 2009. Riding with MIT Technology Review through Del Rio in his patrol vehicle, he rattled off the deaths that his office has responded to since he became sheriff. 

He keeps a three-inch-thick binder of these cases in his office. But this case with the toddler still sticks out in his memory. He told MIT Technology Review that when he arrived on scene, he heard from Border Patrol that the tower operator monitoring the camera had seen the father and daughter fall in the river. He never received an answer as to why agents weren’t sent sooner. Martínez asked for the footage from the surveillance cameras to aid in his investigation of what happened. Border Patrol never provided it. (General Dynamics did not respond to our questions about this incident, instead directing us to CBP. The agency did not address questions about this incident either.)

A binder of cases in the Val Verde County sheriff’s office contains details on the death of two-year-old Eloah Lenda.
A binder of cases in the Val Verde County sheriff’s office contains details on the death of two-year-old Eloah Lenda.

Establishing how many people have died in range of the virtual wall is challenging, but it’s especially so in the case of the RVSS towers. There are different models, some with a shorter range of sight—one to three miles—and others with a longer range of up to 7.5 miles. Former agents and officials told us most towers should see at least five miles, but since no public records exist to confirm the model type of any given tower, we used several possible viewing distances to calculate the number of deaths considered in range.

Another complication is that many remains are never found at all. For those that are, MIT Technology Review could analyze only deaths that had been logged with GPS coordinates or sufficiently precise location descriptions. Many records lack this level of detail, including nearly a fifth of the more than 1,500 cases we obtained from 14 Texas counties. We also needed to determine when someone died, rather than simply when their remains were found, to confirm that a tower was present at the time of death. When official sources did not provide an estimate, we consulted multiple medical examiners on how to make that determination from the available details. And satellite imagery provides only intermittent evidence to suggest when towers arose, not exact proof of when they were functioning. For these reasons, as detailed in our methodology, we tried to be conservative in our analysis.

Even so, the number of deaths estimated to have occurred near at least one of these towers is staggering: somewhere between 500 and 700 since 2015. Even if we look only at towers in rural areas, where their views are far less likely to be blocked by buildings, we still estimate more than 300 people have died in places where the cameras had a line of sight, most less than three miles from a tower. Of the nearly 300 RVSS towers we included in our analysis, more than 250 were within range of a location where someone died. More than 150 people died within a half-mile of one, often across open, empty plains, close enough to see the cameras themselves perched atop towers up to 200 feet tall.

The next watchers

When Borkowski was overseeing the rollout of those first-generation towers at CBP, he became increasingly certain that simply having more remote video cameras was not going to lead to faster responses. The information overload meant the government could watch a large area of the border but not meaningfully see, much less act on, everything within it. The agency’s focus then became solving that overload problem. 

What if, instead of relying on someone to scan 30 screens, the towers could use radar to detect motion, and then point the camera to it automatically? 

Gary Wagner, of Elbit Systems of America, cleans the lens of a long range thermal imaging targeting system at the 8th annual Border Security Expo, Tuesday, March 18, 2014 in Phoenix.
Gary Wagner of Elbit Systems of America cleans the lens of a long-range thermal imaging system at a 2014 border security expo.

In 2011, Border Patrol asked the industry for a new generation of technology that could do just that—initially focusing on Arizona, where the border was busiest. The contract ultimately went to the Israeli defense contractor Elbit, whose tower systems watch Israel’s borders. In 2015, the company started installing versions of these—called integrated fixed towers, or IFTs—that could each see more than five miles.

The IFTs were still being installed when President Trump first took office, in 2017. They didn’t command the same attention as Trump’s campaign promise of a physical wall, but there was still support. Trump’s deputy CBP commissioner, Ronald Vitiello, told Congress in 2018 that the IFT towers automatically detect people with radar and then track them, adding that such surveillance technology is “critical in protecting border areas with short vanishing times, where illicit crossers can quickly evade law enforcement by ‘vanishing’ into border communities.”

There were 55 IFTs built in Arizona under an initial $145 million contract with Elbit and other contracts that followed. The towers collectively watch more than 7,000 square miles of terrain, from the mountainous areas outside Nogales to the plains of the Tohono O’odham Nation Reservation. Arizona is in many ways well suited for these tall towers because much of its landscape is flatter than, say, Southern California. 

An Integrated Fixed Tower (IFT) on Coronado Peak, Cochise County, AZ.
An integrated fixed tower (IFT) on Coronado Peak in Cochise County, Arizona.

But even here, being within a tower’s advertised range does not necessarily mean being within view. There could be terrain, brush, or buildings that block the line of sight. 

MIT Technology Review conducted a topographical analysis to estimate whether each tower had a clear or obstructed view of the place where someone’s remains were found. We estimated the height of each tower and used US elevation maps to model the terrain between it and the remains. The analysis does not account for buildings or vegetation, though all the towers we analyzed use some form of thermal imaging that is designed to see through light brush.

Most of the instances in which someone died in range of a tower happened where we estimate that the camera’s views were not blocked by terrain—a finding that held in both rural and urban areas. And even when someone died in a blind spot, it does not mean they did not pass through a tower’s line of sight. Additionally, these numerous blind spots indicate issues with the tower’s supposedly comprehensive coverage.

We found that nearly 350 people have died in range of Elbit’s towers since 2015. There were 40 people who died within range of four or more IFTs, with some near as many as six different towers. In May 2024, a 19-year-old man died where three IFTs had a clear view, and a year later, in May 2025, a 38-year-old woman died where two IFTs had a similarly clear view. Elbit did not respond to a detailed list of questions about its towers or deaths we found to have occurred near them. 

There’s been a death within range of 52 out of the 53 IFTs we analyzed, but some were particularly notable. There’s a tower located a couple of hours from Tucson on the Tohono O’odham reservation that we estimate has upwards of 80% visibility of the surrounding area. Still, 27 people, ages 19 to 64, have died in its surveillance area just since 2021, along with several others whose remains have not been identified. In 25 of these cases, we estimated that the tower had a clear line of sight to the location where the person died.

Stories of some of the people who died near IFTs


The age of autonomy

Around 2018, officials within Border Patrol were again discussing the limits of the towers. The new radar systems were better, but they could only detect movement, not what was moving. This generated false alerts from cattle, tumbleweeds, and other harmless activity. The now decades-old dream of the virtual wall remained unfulfilled. Under pressure from Congress, which was demanding to know what $33 billion in proposed funding for border security over the next decade was going to achieve, Border Patrol once again was hoping a new generation of technology could solve its problems.

That year the head of CBP, Kevin McAleenan, created a unit called the Innovation Team. “He gave them some seed money to go after kind of Silicon Valley innovative technologies and run pilots,” Borkowski says. 

One company they landed on was Anduril, the defense tech startup founded by Oculus VR founder Palmer Luckey. The company was without a product but had funding from Peter Thiel, recruits from the security tech giant Palantir, and a goal of bringing Silicon Valley experimentation to defense and national security technology. 

Border Patrol Surveillance Tower 567, along the southern U.S. border in Sunland Park, New Mexico.
An autonomous surveillance tower stands along the US-Mexico border. With billions in new funding, CBP plans to deploy thousands more surveillance towers in the coming years.

With grants from the Small Business Innovation Research program, Anduril’s product started taking shape: a 33-foot-tall solar-powered structure with cameras to see and radar to detect movement, all sitting atop a modular metal pole, with solar panels arrayed beneath. 

More important was the component you could not see: computer vision that promised to automatically classify, track, and generate alerts for what came within the system’s view. Anduril’s standard tower couldn’t see as far as the Elbit and General Dynamics models—about 1.75 miles instead of more than five—but, the company argued, it didn’t need to: By automatically identifying and tracking people, the towers could give agents enough warning to respond. (Its newer, extended-range towers, on the other hand, stand 80 feet tall and are advertised as able to detect and track “objects of interest” up to 7.5 miles away.) 

When President Trump left office in 2021, Anduril continued to find support from his successor. Joe Biden had campaigned on the promise of shutting down the project to expand the physical wall, but he saw political reasons to keep investment in tower technology on the table. “It’s less visible—it’s unobtrusive,” a former immigration advisor to Biden recalls, adding that despite some privacy concerns, the towers were mostly uncontroversial. 

When Border Patrol deployed Anduril towers to the Santa Teresa station in New Mexico in 2021, a press release stated, “Because of its accuracy with detection, in many cases this type of technology can and will save migrant lives.” In a permitting request filed in 2024 for towers in California, the government was even more explicit: “If anyone within the viewshed of the towers appears to be in distress, EMTs or first responders will be sent to help.” 

screenshots of video from autonomous towers shared by Customs and Border Patrol

Anduril echoed those claims. The software built into the surveillance towers, the company wrote in a 2021 press release, gets agents “out of communications operations centers and into the field where they can effectuate security and humanitarian responses.”

It wasn’t the first time CBP had discussed a humanitarian side to its duties; in 1998 the agency created BORSTAR, a search and rescue unit, and by August 2023, it had installed some 170 rescue beacons across the border that people attempting a crossing could theoretically use to call for help. But they weren’t effective, says Mario Agundez, a retired Border Patrol supervisor from Arizona who had worked on various rescue efforts; people either avoid them or “die next to them, because there was no way [for Border Patrol] to get to them in time.” (They don’t always work, either; one that MIT Technology Review passed, just next to a dirt road in the Otay Mountain wilderness area in Southern California, had its prominent solar-powered blue light, meant to be visible for miles to people in distress, turned off on a recent night in August. A CBP spokesperson did not comment on why it was off but said, “The solar-powered beacons are maintained and monitored by the responsible Border Patrol station that patrols that area.”)  

Anduril soared through a pilot phase in just two years before its Sentry towers—then the only autonomous surveillance towers CBP was using—moved into an official program of record with the government in 2020. That’s light speed in the world of government procurement, especially since it was Anduril’s first hardware product. By June 2021, CBP had already spent over $98 million (Anduril’s contract for these towers is now worth up to $1.1 billion). 


Gerardo Galvan was in charge of the Santa Teresa Border Patrol station—which patrols the area in New Mexico where Morales’s body was later found—when it received its first batch of Anduril surveillance towers in 2021. His agents were worn out; the El Paso sector, home to his station, had seen encounters tick up each month since April 2020. Galvan says the agents were surprised but eager to get the AI towers, and he began planning where to place them. The sites he was considering sat where one kind of landscape abruptly gives way to another. 

To the east of the station is Cristo Rey, a mountain that obscures the view of the city of El Paso. Running north from Cristo Rey is the state’s border with Texas, where the banks of the Rio Grande are flanked on either side by pecan orchards. And west of those orchards are the towns of Sunland Park and Santa Teresa. The last houses in these neighborhoods butt right up against the desert, which sprawls westward without a single gas station for nearly 100 miles.

It is in this stretch—between the US-Mexico border to the south and Highway 9 to the north—where agents from his station aimed to stop migrants. And when Galvan was planning the tower locations, there were lots of crossings; Santa Teresa was becoming the busiest station in the 125,500-square-mile El Paso sector, as heightened border enforcement in Texas drove people west. Along this new route, more people were dying than in previous years. (The traces of that period are still visible years later; MIT Technology Review visited the area with the humanitarian group Battalion Search and Rescue and saw jawbones bleached white by the sun, alongside frayed backpacks and clothes.)

Galvan’s aim was to use the new towers as a stopgap where there was little other border infrastructure. That included a spot near the foot of Mount Cristo Rey, where there was a break in the border fence and people often attempted to cross. Galvan looked at data on previous apprehensions with an eye toward helping agents spot people before they arrived in more residential neighborhoods. Border Patrol struck agreements with private landowners, who generally didn’t mind having Anduril’s low-profile towers on their land (and were compensated via lease agreements). 

When the towers were first set up near the Santa Teresa station in 2021, engineers from Anduril came to fine-tune the algorithms meant to autonomously classify whether what it had detected was a vehicle or a possible border crosser, among other things. A former engineer for Anduril, who spoke on the condition of anonymity to discuss his previous employer, says these algorithms were the main focus of the tower program; Anduril didn’t manufacture the cameras or radar systems itself, so the algorithms were its main value proposition to Border Patrol. 

Galvan says the towers would flag people crossing before agents saw them. But he also saw problems from the start. Agents would apprehend a large group near one of the towers, for example, and check to see if the footage revealed anyone who got away, only to find that the incident hadn’t been captured at all. Anduril’s towers constantly pan around, lingering only on an object of interest. But in these cases, Galvan says, they panned elsewhere, failing to capture the border crossers they were supposed to automatically track.  

Reyes says algorithm mistakes were infrequent but problematic at his station. A group of people was sometimes labeled as cattle, for example, and agents wouldn’t receive an alert. The problem got worse the farther groups were from the camera.

Anduril has touted its technology’s ability to reduce false positives, like cases in which wildlife is mistaken for people. But the company has said little about these false negatives: people the systems fail to detect.

Jaime Fierro, the former agent in the Laredo sector in Texas, describes one incident that shocked him: Agents pursued a car believed to be carrying migrants who had just crossed the border. The car turned around, drove toward the banks of the Rio Grande less than 100 feet from an Anduril tower, and crashed right into the river. Several occupants got out and swam to Mexico while the car floated in the water. Back at the station, Fierro hurried to see what the camera had picked up. Only it never detected the incident at all. There was no footage. “That was a huge, huge issue,” Fierro says. He remembers Anduril coming out to investigate and the problem being sent all the way up to Washington leadership. But Fierro never got an explanation of why the crash was missed. (An Anduril spokesperson did not respond to a question about this incident but said the range of the towers we asked about was limited by physical obstructions and by boundaries established by CBP. )

Several agents estimate that the towers initially missed 10% to 15% of what they should in theory have caught. “To us, 10-15% on a system we spent millions on that was supposed to work—that was alarming,” Fierro says.

Philip Sullivan worked as an agent in the Laredo sector too. When the Anduril program started, he says, he put his hand up to be involved and even went to an Anduril test site for training. When new towers went up, he worked directly with the company on improving its algorithms. He enjoyed the work. But he describes one recurring issue they couldn’t resolve.

Smugglers would put up to a dozen people on a rubber raft, cover them with a tarp, and cross the Rio Grande while using submersible motors to propel it forward. The tarp fooled the algorithm, which detected the motion but attributed it only to an “unidentified object.” That meant no audible alert—the very feature agents relied on, because the Anduril system was supposed to do the watching for them. 

The smugglers repeated the tactic dozens of times. Other smugglers would cover groups with netting or blankets so they would remain undetected while walking through the brush. Only afterwards, having seen the group farther inland and noticed clues about where the people had crossed, would Sullivan review the footage and see the crossings that were missed. He worked with Anduril, sending engineers videos of the crossings to retrain the firm’s algorithms. But the situation had not improved by the time he got promoted to a sector-level job sometime in 2022, he says.

“The whole purpose of their system,” Sullivan says, was the idea that “the cameras are moving around, identifying automatically and tracking and recording and flagging.” Having cameras that could pan on their own worked wonders, he says. But the algorithm had its limits. “You look at it on the screen yourself, and you see the blob and the raft moving across—well, you know that’s people. But to get an AI to identify that is a challenge.”

When the towers were first being rolled out at the Santa Teresa station in 2021 and 2022, Galvan says, similar issues led to a negative feedback loop: An agent would see a tower miss something significant and come to distrust the algorithm. When that agent’s turn came to operate the towers and manage the alerts, they might override the AI altogether and use the camera manually. That would lead to more missed alerts, more distrust.

Despite these shortcomings, the El Paso sector’s relatively flat landscape meant that the system’s cameras had about 80% to 90% visibility, according to our topographical analysis. That was better than in hillier or more mountainous areas, like the Otay Mountain Wilderness to the east of San Diego, where we estimate Anduril’s towers could see just 15% to 25% of their promised coverage area. 

An autonomous surveillance tower along the southern US border in Sunland Park, New Mexico.
An autonomous surveillance tower along the southern US border in Sunland Park, New Mexico.

It was in this wilderness, in fact, that some of the first bodies started appearing near Anduril’s towers. During one week in August 2021, two women in their 20s, from the same city in Mexico, died miles apart. Their bodies were found near three different towers that were first observed on satellite imagery between March and July that year. 

One of them, 26-year-old Sarahi Hernández Alfonso, began her journey to cross into the US on August 5, and medical investigators note that she reportedly fainted the next day near the Otay Mountain Wilderness and was left behind. It would be another four days before the Mexican government reported her missing to Border Patrol on August 10, supplying a set of coordinates. Agents went to those coordinates and found her decomposing body. She’d died 1.3 miles from two different Anduril towers, one of which our analysis found had a clear line of sight.

Just the day before, 25-year-old Karina López Antonio was found dead near a third Anduril tower. She had crossed the previous night with her cousin and nephew. That morning, she felt sick, and her nephew looked for a Border Patrol agent to help. When agents returned, she was dead. 

The following October in New Mexico, where the new Anduril towers had been rolled out, agents were patrolling on ATVs when they came across footprints. They followed them until they found the body of 31-year-old César Perea Itzincab. The presence of maggots and the level of decomposition indicated that he had died at least a week earlier, and medical examiners on the scene believe he had dragged himself to the spot where his remains were found. He was 1.5 miles away from an autonomous tower—within Anduril’s advertised range—and should have been visible to the camera, according to our topographical analysis.

We can’t know what those cameras saw as these people died. Footage and data from Anduril’s towers are overwritten every 30 days, and a former official with internal affairs at CBP told us the information wouldn’t be saved for longer unless it was part of an active investigation—which starts only if someone dies in custody. CBP did not respond to questions about specific incidents like this one, and the Sunland Park Police Department closes cases like this when it determines that no crime has been committed. 

The lack of documentation is a missed opportunity, says Amerika Garcia Grewal, co-director of the Frontera Federation, which aims to help rescue migrants in distress—or find and identify their remains. “The surveillance towers along the border could be incredibly useful,” she told us. For example, they could in principle be used to hold Border Patrol agents accountable for whatever actions they did or did not take to locate someone in distress. “What the tool turns out [to do] depends on the person who is holding it,” she says, adding, “I don’t trust the folks that are using them.”

“If I could get that footage,” she says, “then we would go through that, and hopefully bring some answers” to family members and “documented proof of what happened” in their loved ones’ final moments. 

When asked about deaths near Anduril towers, agents often point to faults in the technology. Galvan, for example, says the towers don’t capture how groups move: A large group of 20 people might splinter into smaller groups, especially if agents are pursuing them, and the tower doesn’t keep track of everyone. If someone’s missed, he says, “that person stays behind in the brush, out of sight.” Then they might pass out—which could be a death sentence in the desert. 

And though Border Patrol says the towers can “hand off” surveillance of people from one tower to another, agents on the ground say that people are often missed during these handoffs. On top of that, the algorithms remain imperfect, according to Jason Owens, the chief of Border Patrol from June 2023 to March 2025. “We never really got to the point of ‘Set it and forget it,’” he says.

Agents also say they were just stretched too thin to respond effectively. Around 2022 and 2023, the border saw historically high levels of migration. Title 42, a policy that began under Trump and continued under Biden until May 2023, cited a public health emergency to expel migrants before they could apply for asylum. But the rapid expulsions carried fewer of the repercussions that could normally follow an apprehension, and many people simply tried to cross again.

Meanwhile, asylum claims had been rising for years, while shifts in US immigration policy and in the places migrants where originating from meant more people required lengthy processing rather than being quickly returned across the border or to their home countries. That increasingly tied up agents with people who had already been apprehended, they said, leaving fewer available to respond to surveillance alerts. 

In other words, from the agents’ perspective, the effectiveness of Anduril’s towers was limited by the same issue that had always caused trouble: There just weren’t enough agents.

Palmer Luckey, a founder of Anduril, among the equipment at his company's testing range near Camp Pendleton in Southern California on Feb. 3, 2021.
Palmer Luckey, a founder of Anduril, surveys the equipment at his company’s testing range near Camp Pendleton in Southern California on February 3, 2021.

But the overwhelming demands on agents cannot explain all the deaths our investigation found. In 2024, the border started to get quiet again. By July of that year, the number of Border Patrol encounters nationwide had plummeted from their highs in December 2022. Encounters in the El Paso sector, where the Anduril towers in New Mexico were located, had fallen to nearly one-tenth of their peak. Agents were less tied up than they’d been in years. The technology was supposedly improving, too. 

Galvan had left for a promotion by this time, but he says agents had come to trust the towers more, and they helped train the algorithm by giving a thumbs up or thumbs down if the system identified something correctly or incorrectly. There was also a new smartphone program: Every agent at the station was given an Android device with a map of where other agents were, and it sent alerts from the station about what an Anduril tower detected. 

Despite all this, the deaths near towers continued. There was Morales in April, whose body Border Patrol learned about only from the landfill workers, though it had lain for hours within sight of an Anduril tower. 

Others were discovered by luck. 

What’s at the border today and what’s coming next

On June 20, Border Patrol agents were mistakenly tracking a group of people they thought might be migrants, though they were in fact employees of the same landfill. Those employees told the agents they had come across a body, which turned out to be partially mummified remains of a man in his 40s who died within range of two Anduril towers. 

Three days later, on the 23rd, another: the body of a 21-year-old Guatemalan man discovered by agents while on patrol, 1.3 miles from a tower across clear and open desert. Two days after that, another: An agent was looking for a lost person when he came across the remains of a 56-year-old man—just a football field’s distance from the previous one, with a similarly clear and unobstructed view to a tower.

So if Santa Teresa had gotten quieter—and become something of a showcase for Border Patrol’s newest technology efforts—what was going on?

“Agents review the information and determine the appropriate response—the technology does not make law enforcement decisions,” Beckham, CBP’s assistant commissioner, said. Meanwhile, individual agents described scenarios where they might not prioritize responding to alerts.

Sometimes “hanging back” was a strategy: Agents might observe a group to see what route they would take, or agents might not respond to a small group, in case those people had been sent by smugglers to distract from a larger group coming behind them. Other times, agents might deem the location where a group of migrants had first been spotted to be impractical for an apprehension, and instead wait to intercept them at another location.

Knowing someone’s location didn’t always lead to immediate action. Volunteers describe providing Border Patrol with the coordinates of someone who was lost but alive and then waiting, “sometimes [for] a week,” for agents to reach the location, says Garcia Grewal, from Eagle Pass, Texas. They might be told “Oh, so-and-so went out there and they found remains,” she recalls. “Well, they weren’t remains when we called you. They were alive.”

Discarded belt seen near the southern US border, Sunland Park, New Mexico.
Near the southern US border, Sunland Park, New Mexico.

Mireya Morales, the younger sister of José Morales Bernal, who died by the landfill on the day before his birthday in April 2024, wasn’t aware her brother died near several surveillance towers, or that the government said these towers could save lives. “Well that’s good,” she said of that promise, “but in this case, it didn’t help my brother. And there’s no way to know exactly how things played out.”

“Border Patrol should have found him quickly,” she says, “and they could have done something.” If they did, this journey into the United States—his fourth trip—likely would have ended with his apprehension, detention, and deportation to Mexico. But he would have seen the birthday texts that his sister sent the next day. At least he would have made it home to celebrate his eldest daughter’s quinceañera, which took place earlier this year.

Stories like this are why Iván Chaar López, an assistant professor of American studies at the University of Texas at Austin who leads its Border Tech Lab, says he’d “rather talk about harms” than about “the failure of an algorithm.” He adds, “A system may fail, but humans suffer.” 

Stories of some of the people that died near Anduril’s autonomous surveillance towers

What happens next

Ultimately, any attempt to understand where things are going wrong is hampered by an institutional reluctance to measure the problem.

A complete audit of this virtual wall can only come from Border Patrol. The agency is, in some ways, increasingly equipped to take on that task: Agents told us that each time they apprehend someone, the location is logged with GPS coordinates, as are instances when Border Patrol sees evidence that someone crossed but cannot find them. It also has precise data on when each surveillance tower went up, which alerts came in, and how they were resolved. Having that information is the only way to measure whether the newest towers are truly missing fewer people than the previous generations. 

But researchers and outside oversight agencies say this ocean of data hasn’t translated into a reliable system for measuring the effectiveness of the virtual wall. For example, CBP records the people it misses by logging “gotaways,” a tally of how many times agents see signs of someone who evaded apprehension—footprints, appearances on camera, reports from other people who were apprehended. It’s imperfect. And that creates room for interpretation.

“The goals with border enforcement have always been a moving target,” says Jeremy Slack, a researcher of migration and border issues at the University of Texas at El Paso. “They’re always set up so that it’s a win-win.” If apprehensions go up, for example, CBP says it means agents have gotten more effective at catching people. If apprehensions go down, it means the border is quiet because people are too scared to cross. 

Workers install panels and construct new all-weather roads as part of a border wall construction project east of Nogales, Arizona, in July 2026.

That’s not to mention the conflicting ideas within the agency about what the virtual wall was supposed to accomplish. Borkowski says higher-ups would ask how many fewer agents they could get by with if they built more towers. But supervisors receiving new towers told us they’d often ask for more agents, not fewer, because they now had more activity to respond to that had previously gone unseen. 

And if the goal was for the sight of the towers to deter people from crossing to begin with, an external study from RAND in 2020 was ambiguous: It found that deploying IFTs resulted in lower apprehension levels nearby but said this didn’t mean the towers were actually deterring crossings. (Research by Boyce and colleagues found that earlier surveillance towers in southern Arizona pushed people to seek more difficult terrain out of view.) It leads to a question: Do the deaths near the virtual wall constitute unacceptable surveillance failures, or are they within the range of effectiveness the government deems acceptable? (CBP’s response did not address our questions on how it explains these deaths.)

Against this backdrop, the Government Accountability Office and DHS’s Office of the Inspector General have tried to focus on a narrower question: Is the virtual wall increasing the likelihood of apprehensions? 

The answer has been incomplete since 2014. That’s when the GAO first suggested that whenever agents log their activity in Border Patrol’s database, they should include information about whether or not a piece of technology helped in their apprehension. This could at least do something to show Congress whether the technology is working. Border Patrol began collecting that information, but years of incremental improvements have been followed by repeated findings that the resulting data is unreliable or insufficient to determine how well the technology works. The reality, several people from Border Patrol told MIT Technology Review, is that agents see it as a chore demanded only by bureaucrats who don’t understand the realities of the border. 

It’s “spitting in the wind, to be honest,” a former high-ranking official at DHS during the Biden administration told MIT Technology Review on background. “If we have 10,000 people a day crossing in between the ports of entry, do you think an agent is worried about telling them how they freaking apprehended those people?” Several other officials said that the logging of technology assists had improved, but not consistently enough to help much with analysis. 

And there is no procedure—at the local or national level—to examine individual deaths near the towers or analyze them collectively for surveillance failures. “We never thought about plotting [migrant deaths] to see if the towers were missing things or agents were missing people,” said a former CBP official who evaluated how personnel handled deaths in custody.

“Nobody ever raised the issue,” the official said, adding that doing so could reveal important gaps in the agency’s approach: “If I still worked for CBP, and you brought it up, I would probably send some people to look.”

In response to questions from MIT Technology Review, CBP said that autonomous surveillance towers complement physical barriers by improving detection and situational awareness. Its statement did not address questions about its other technologies, or broader criticisms about how it evaluates the virtual wall.

Border Patrol Surveillance Tower 567, along the southern U.S. border in Sunland Park, New Mexico.
An autonomous surveillance tower along the southern US border in Sunland Park, New Mexico.

This lack of measurement has not slowed the enthusiasm for more technology funding. The government spending bill passed in July 2025 awarded $2.7 billion for border security technology alone, and CBP was quick to signal to industry that the money would soon start flowing. “We’ve got an historic investment in infrastructure and technology coming up,” a CBP director told tech companies in an industry webinar that month. In a December 2025 interview, when he was director of homeland security and immigration at the America First Policy Institute, Cooper Smith described the technology investments as “fortifying” the border against a future president who might be, in his estimation, weaker on the border than Trump. (According to LegiStorm, a research organization that focuses on political staffers, Smith now serves in a policy-focused role with CBP.) The number of Border Patrol agents has climbed too, to nearly 21,500 agents as of June 2026—the highest in the agency’s history. 

In the Big Bend region of Texas, surveillance towers are becoming a focus of local politics: Officials and residents across party lines, including the sheriff of Terrell County, are asking for Anduril towers instead of a controversial new border barrier project that’s recently been halted.

CBP has announced a desire to spend $1 billion on nearly 1,500 more towers by 2034. The law now requires all these towers to be equipped with AI. In December 2025, Anduril’s Palmer Luckey said the towers remained the company’s best-selling product, one that gives “basically perfect situational awareness of what’s going on in the area.” Anduril’s towers have been sold abroad—to enforce the UK’s borders, defend US Marine Corps bases in Japan and elsewhere, and serve as drone defenses for an Australian Air Force base. 

But as for CBP, Anduril will no longer be the only game in town; General Dynamics has now released AI towers of its own and received an order for them in June from CBP worth up to $115 million. The Electronic Frontier Foundation—which has tracked surveillance towers since 2022—says some have already been spotted at the border.

This time around, the agency will be spending this money with even less oversight than it had just a couple of years ago. In October 2025, the Department of Homeland Security, which oversees CBP, dissolved its department-level office that oversaw major spending programs.

Border Patrol Surveillance Tower 489, along the southern U.S. border in Sunland Park, New Mexico.
An autonomous surveillance tower along the southern US border in Sunland Park, New Mexico.

Most of the records on human remains that MIT Technology Review collected were current only through the fall of 2025 or, in a handful of cases, early 2026. Even those dates come with a caveat: Many remains are never found, and others are found months after someone died. The reports can then take months to be released via public record requests. That makes it nearly impossible to keep track of how many people have died near surveillance towers in anything close to real time.

Still, the border today is significantly quieter. The latest figures from DHS show just 128,009 “enforcement encounters” from January to August 2026, compared with more than 2.4 million during the same period in 2024 (“encounters” count each of Border Patrol’s interactions, not individual people).

Even as border crossing rates decrease and DHS speeds ahead with its tower acquisition plans, people are still dying within range of the surveillance towers.   

On September 14 2025, a 30-year-old Mexican woman named Graciela Gómez Hernández died just over 350 yards away from the physical border wall that separated Southern California from Tijuana—and within one mile of an RVSS tower. Earlier that afternoon, she had told her family that she could not walk any further, and her voice notes abruptly stopped. 

Her skeletonized remains were recovered nearly three weeks later, on October 4. Some of her bones were missing, and there was “apparent animal activity … to the ribs,” as the medical examiner’s report read. 

Sara Stroud, an organizer with the Borderlands Relief Collective, a volunteer humanitarian group that leaves water and supplies in a wilderness area frequented by people crossing the border, went to the site of her death a few days later to put up a memorial cross. A Border Patrol helicopter showed up almost immediately, flying low circles above the volunteers. 

Between the helicopter and the RVSS tower that was visible in the background, “I was astounded about how we were being surveilled the whole time,” Stroud says, adding that this was especially stark in contrast to the agency’s often slow—or absent—responses to people who’d died on camera. 

“Are you telling me you didn’t see it or you did see it?” she asks. “Because if you did see it, that’s horrible. And if they can’t, then how do you explain that?”

Additional reporting by Lillian Perlmutter.

This work was supported by a grant from the Tarbell Center for AI Journalism.

by James O’Donnell & Eileen Guo

China’s Expanding Surveillance State: Takeaways From a NYT Investigation (NY Times)

nytimes.com

Isabelle Qian, Muyi Xiao, Paul Mozur, Alexander Cardia


Times reporters spent over a year combing through government bidding documents that reveal the country’s technological road map to ensure the longevity of its authoritarian rule.

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A New York Times analysis of over 100,000 government bidding documents found that China’s ambition to collect digital and biological data from its citizens is more expansive and invasive than previously known.

June 21, 2022

China’s ambition to collect a staggering amount of personal data from everyday citizens is more expansive than previously known, a Times investigation has found. Phone-tracking devices are now everywhere. The police are creating some of the largest DNA databases in the world. And the authorities are building upon facial recognition technology to collect voice prints from the general public.

The Times’s Visual Investigations team and reporters in Asia spent over a year analyzing more than a hundred thousand government bidding documents. They call for companies to bid on the contracts to provide surveillance technology, and include product requirements and budget size, and sometimes describe at length the strategic thinking behind the purchases. Chinese laws stipulate that agencies must keep records of bids and make them public, but in reality the documents are scattered across hard-to-search web pages that are often taken down quickly without notice. ChinaFile, a digital magazine published by the Asia Society, collected the bids and shared them exclusively with The Times.

This unprecedented access allowed The Times to study China’s surveillance capabilities. The Chinese government’s goal is clear: designing a system to maximize what the state can find out about a person’s identity, activities and social connections, which could ultimately help the government maintain its authoritarian rule.

Here are the investigation’s major revelations.

Analysts estimate that more than half of the world’s nearly one billion surveillance cameras are in China, but it had been difficult to gauge how they were being used, what they captured and how much data they generated. The Times analysis found that the police strategically chose locations to maximize the amount of data their facial recognition cameras could collect.

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The Chinese government bidding documents analyzed by The Times outline the authorities’ surveillance ambitions. Credit: The New York Times

In a number of the bidding documents, the police said that they wanted to place cameras where people go to fulfill their common needs — like eating, traveling, shopping and entertainment. The police also wanted to install facial recognition cameras inside private spaces, like residential buildings, karaoke lounges and hotels. In one instance, the investigation found that the police in the city of Fuzhou in the southeast province of Fujian wanted to install a camera inside the lobby of a franchise location of the American hotel brand Days Inn. The hotel’s front desk manager told The Times that the camera did not have facial recognition capabilities and was not feeding videos into the police network.

A document shows that the police in Fuzhou also demanded access to cameras inside a Sheraton hotel. In an email to The Times, Tricia Primrose, a spokeswoman for the hotel’s parent company, Marriott International, said that in 2019 the local government requested surveillance footage, and that the company adheres to local regulations, including those that govern cooperation with law enforcement.

These cameras also feed data to powerful analytical software that can tell someone’s race, gender and whether they are wearing glasses or masks. All of this data is aggregated and stored on government servers. One bidding document from Fujian Province gives an idea of the sheer size: The police estimated that there were 2.5 billion facial images stored at any given time. In the police’s own words, the strategy to upgrade their video surveillance system was to achieve the ultimate goal of “controlling and managing people.”

Devices known as WiFi sniffers and IMSI catchers can glean information from phones in their vicinity, which allow the police to track a target’s movements. It’s a powerful tool to connect one’s digital footprint, real-life identity and physical whereabouts.

The phone trackers can sometimes take advantage of weak security practices to extract private information. In a 2017 bidding document from Beijing, the police wrote that they wanted the trackers to collect phone owners’ usernames on popular Chinese social media apps. In one case, the bidding documents revealed that the police from a county in Guangdong bought phone trackers with the hope of detecting a Uyghur-to-Chinese dictionary app on phones. This information would indicate that the phone most likely belonged to someone who is a part of the heavily surveilled and oppressed Uyghur ethnic minority. The Times found a dramatic expansion of this technology by Chinese authorities over the past seven years. As of today, all 31 of mainland China’s provinces and regions use phone trackers.

The police in China are starting to collect voice prints using sound recorders attached to their facial recognition cameras. In the southeast city of Zhongshan, the police wrote in a bidding document that they wanted devices that could record audio from at least a 300-foot radius around cameras. Software would then analyze the voice prints and add them to a database. Police boasted that when combined with facial analysis, they could help pinpoint suspects faster.

In the name of tracking criminals — which are often loosely defined by Chinese authorities and can include political dissidents — the Chinese police are purchasing equipment to build large-scale iris-scan and DNA databases.

The first regionwide iris database — which has the capacity to hold iris samples of up to 30 million people — was built around 2017 in Xinjiang, home to the Uyghur ethnic minority. Online news reports show that the same contractor later won other government contracts to build large databases across the country. The company did not respond to The Times’s request for comment.

The Chinese police are also widely collecting DNA samples from men. Because the Y chromosome is passed down with few mutations, when the police have the y-DNA profile of one man, they also have that of a few generations along the paternal lines in his family. Experts said that while many other countries use this trait to aid criminal investigations, China’s approach stands out with its singular focus on collecting as many samples as possible.

We traced the earliest effort to build large male DNA databases to Henan Province in 2014. By 2022, bidding documents analyzed by The Times showed that at least 25 out of 31 provinces and regions had built such databases.

The Chinese authorities are realistic about their technological limitations. According to one bidding document, the Ministry of Public Security, China’s top police agency, believed the country’s video surveillance systems still lacked analytical capabilities. One of the biggest problems they identified was that the data had not been centralized.

The bidding documents reveal that the government actively seeks products and services to improve consolidation. The Times obtained an internal product presentation from Megvii, one of the largest surveillance contractors in China. The presentation shows software that takes various pieces of data collected about a person and displays their movements, clothing, vehicles, mobile device information and social connections.

In a statement to The Times, Megvii said it was concerned about making communities safer and “not about monitoring any particular group or individual.” But the Times investigation found that this product was already being used by Chinese police. It creates the type of personal dossier authorities could generate for anyone, that could be made accessible to officials across the country.

China’s Ministry of Public Security did not respond to faxed requests for comment sent to its headquarters in Beijing, nor did five local police departments or a local government office named in the investigation.

How next-gen satellites are transforming our view of climate change (CNET)

cnet.com

Megan Wollerton – Jan. 18 2022


climate-change-maps.png
Robert Rodriguez/CNET
As more frequent and more severe storms erode coastlines, mapmakers must adapt quickly.

A shrinking swath of coastline in Washington state has a regrettable nickname: Washaway Beach. It’s named not for what’s there, but rather for what isn’t. Insatiable Pacific Ocean currents have taken greedy bites out of the land over the past century.

Washaway Beach’s disappearing shore isn’t measured in centimeters or inches. You can’t track the changes with a hardware store measuring stick. Residents of the area, roughly two and a half hours southwest of Seattle, are watching their homes and businesses get swallowed by the sea at an average rate of 100 feet per year; that’s about the height of a 10-story building. It’s the fastest-eroding place in the western United States.

Washaway Beach is an extreme case of erosion. Many factors contribute to its rapid decline. But the quickening march of climate change, including rising sea levels and more frequent and severe storms, poses a growing threat to coastal communities everywhere. 

I’ve never been to Washaway Beach. I’m hearing about it for the first time from Peter Doucette, the acting director for the Earth Resources Observation and Science Center at the US Geological Survey. Doucette is showing me over Zoom a colorful animated map of how the community changed between 1985 and 2017. The water eats away at the map’s multicolored patches. The brown beaches, red developed areas and light blue freshwater bogs evaporate in the Pacific’s 32-year sprint to wipe out the town. It’s jarring to watch how quickly the land dissolves into the deep blue as the ocean takes over. 

Watch Washaway Beach disappear. USGS

Scientists didn’t have the tech to visualize changes like this even five or 10 years ago, though they had the data. “This is the power of using the data from time; it’s taking advantage of the time dimension, which requires a lot of computing power … but we have that now,” Doucette explains. 

Faster satellites, sharper images taken in near real-time and advanced computing techniques are making it possible for mapmakers to redraw Washaway Beach as soon as coastal changes occur. Emerging technologies will help scientists predict what could happen to it in the future, just like a weather report. 

For coastal residents around the world, or anyone living in an area susceptible to extreme weather events, this type of mapping could save lives. Up-to-date maps can provide crucial information for first responders needing to traverse areas hit by natural disasters; residents and visitors need regular, ongoing updates to adapt to a changing landscape. 

For anyone living in areas less directly affected by the climate crisis, maps that show change over time provide a crucial bridge to understanding what’s really happening in other places, and how quickly. 

“By helping people visualize how the world is changing, maybe that will give them a better understanding of climate change as a whole,” says Tanya Harrison, director of science strategy at Planet, a private satellite imagery company. “How is your neighborhood being affected? How is your grandmother’s house being affected? Maybe she lives on the other side of the country or the other side of the world. In a way, that can kind of make this a little bit more personal.”

From clay tablets to satellites

Maps aren’t easy to define. They’re squishy things, molded by the minds of the people who create them. Imperfect representations of our world. One part art; one part science.

Still, they give us a baseline for decision-making, whether it’s finding the closest coffee shop, climbing a mountain or helping people understand something more serious, like climate change.

“[Maps are] such a great intuitive way to gather information and humans are really good at understanding spatial information presented in that way,” says Mike Tischler, director of the National Geospatial Program at the US Geological Survey. “You want to know what’s over the ridge, you want to know what’s around the bend, you want to know where things are.” That’s probably why maps have been around for thousands of years. 

A clay tablet known as the Babylonian Map of the World, or Imago Mundi, is the oldest known map of the world. It was discovered in Iraq and dates back to about 600 B.C.

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The Babylonian Map of the World is the oldest map of the world. The Trustees of the British Museum

Modern mapmaking got its start in 1852, when French army officer Aimé Laussedat created the first maps with photographs. Laussedat also experimented with aerial photography, sticking cameras on kites and balloons. As air travel became more sophisticated, aerial photography transitioned from balloons to planes in World War I and World War II and, eventually, to satellites in the 1970s. 

Nowadays, aerial photography is more automated than it was when ground crews launched unsteady balloons into the air, hoping to get the right shots. Hundreds or thousands of images are taken automatically from planes and satellites to make maps. Now planes and satellites visit the same place regularly, reliably showing how land changes over time.

“Land change is really complex. … Tying it to climate, I’m not sure we’re there yet,” says Jesslyn Brown, research geographer for the Earth Resources Observation and Science Center at the US Geological Survey. You can’t identify patterns that could point to climate change without monitoring the same places at regular intervals.

“This might be a little controversial, but my opinion is that governments don’t find monitoring very sexy,” Brown says. “But it’s an absolute necessity because you can’t manage what you can’t measure, so we need to take these measurements in order to have the information to monitor the Earth and to monitor the effects of climate change.”

Chasing change 

In the US, Landsat is the best-known Earth-observing satellite for monitoring and mapping purposes. Landsat 7 and Landsat 8 circle the globe once every 99 minutes, traveling at 17,000 miles per hour. Each satellite covers the entire planet in 16 days. Together, they cover the Earth in eight days because they’re in reverse orbit. 

The satellites are “roughly the size of a small school bus,” says Doucette, the USGS director who showed me the map of Washaway Beach, and have a 30-meter resolution, “about the size of a baseball diamond per pixel.”

Generations of Landsat satellites have been doing this since 1972. That 50-year record makes it extremely valuable for tracking changes over time.

“[50 years of data] provides researchers the ability to go back through time and monitor what kinds of changes are going on on the land surface,” Doucette says. “That really wasn’t possible until just the last five to 10 years with the big data compute capabilities that have become available.”

l9-himalaya-hyperwall-rgb-nolabels
This image of the Himalayan Mountains is one of the first shots taken by Landsat 9.  NASA

NASA launched its newest satellite, Landsat 9, on Sept. 27. Soon, it will hand over control of Landsat 9 to the USGS. Then, Landsat 7, which has been orbiting the planet for 22 years, will be retired. Most old Landsat satellites go into “disposal orbits,” destined to circle the planet until they eventually reenter the atmosphere and burn up. Landsat 7 won’t have the same fate; it will be moved into a different orbit to help test NASA’s robotic refueling project, Doucette explains. 

Landsat is still the gold standard for satellite imagery, says Terry Sohl, acting branch chief for the Integrated Science and Applications Branch and research scientist at the USGS Earth Resources Observation and Science Center. “To be honest, I’m not sure that’s going to be the case in five years,” Sohl adds.

Private satellite companies are making it easier than ever to visualize changes worldwide almost as soon as they happen for much less money than Landsat. 

Smaller, faster, cheaper, sharper

“If you’ve got a satellite right now that covers the Earth every two weeks, you can have homes and cities destroyed in that time,” says Tischler, the USGS director of the National Geospatial Program. Private companies are sending larger numbers of tiny satellites into orbit that cost less to build, launch and operate, have very high-resolution cameras and cover more ground more quickly. 

One of the private companies, Planet, has two different types of satellites: Dove and Sky satellites. The 180 Dove satellites are the size of a loaf of bread; they orbit the globe every 90 minutes and have a three- to five-meter resolution, or about 10 to 16 feet. 

Fifteen of the Sky satellites orbit at the poles like the Dove satellites. The remaining six Sky satellites orbit at latitudes closer to where people live to capture images of cities. Combined, the Sky satellites orbit Earth 12 times per day. Sky satellites are about the size of a dishwasher and have a resolution of just 50 centimeters, or a little over a foot and a half. They capture details that Landsat’s baseball-diamond-size resolutions can’t. 

Planet satellites show the Milne Ice Shelf breaking apart in July 2020. Planet Labs PBC

Smaller satellites are cheaper, too. It costs about a billion dollars to design, build, test and deploy one Landsat satellite. One Planet satellite costs in the “low hundreds of thousands of dollars,” although the company wouldn’t say exactly how much. 

Having a lot of smaller satellites also makes it easier for the San Francisco-based team to build them locally and experiment with new technologies quickly. 

“If there’s something new that comes to the market that could lead to better image quality … we have the option to just switch that out in-house where we’re actually building the satellites in the basement of our headquarters in San Francisco and just say, ‘Hey, let’s put in a new sensor. Let’s launch that,'” says Harrison, Planet’s director of science strategy. 

That way, if they want to test something, they can try it on one satellite and see how it works, without having to update all 200 satellites in their fleet.

Its various satellites have observed many events related to the climate crisis all over the world. The most significant changes they’ve seen have taken place in the coldest regions.

In July 2020, Planet satellites captured the collapse of the last intact Arctic ice shelf. “That was obviously a big tragedy. It’s not the kind of thing that you want to see, but it’s something that we managed to capture,” Harrison says.

Seeing is believing

Newer satellites are giving us more data, more quickly. Advancements in computing are changing how mapmakers use that data to show how our planet is changing right now and how it could change in the future.

Doucette is showing me another map now, this time a projection of what the land near Lubbock, Texas, will look like decades from now. At some point, the Ogallala Aquifer, which supports cotton and other key crops in the region, is going to dry up. Scientists at the USGS worked with other government agencies to create forecasts of Lubbock between 2014 and the end of the century, drawing from Landsat data, socio-economic data and climate data.

The map shows the cotton crop disappearing in tandem with the Ogallala’s water. The projections will vary based on how water usage continues, so scientists create best, middle and worst case scenarios because of the uncertainty. 

“Climate is actually much more predictable than people. I don’t worry about the variability in a climate scenario; I worry about the variability of how people behave,” says Sohl, the USGS scientist. “There are all these things that happen that are just so totally unpredictable, like a new government policy that can have a huge impact on the landscape.”

ogallala-changes-620
What happens when the Ogallala Aquifer runs out of water? NOAA

Either way, the Ogallala’s water will disappear and it isn’t coming back.

Knowing this in advance gives people in Lubbock time to shift to other types of crops that don’t depend so heavily on water. Doucette suggests dryland wheat or returning the area to grassland.

“This is how we hope to use Landsat and other related Earth observation data so we can understand the causes of change in the past that kind of help us develop these models for projecting potential change going into the future,” Doucette says. 

Historic data from Landsat combined with sharper-resolution imagery from private satellite companies equips mapmakers to show climate change impacts now and model what could happen to the same areas decades or even centuries from now. “[Landsat and private satellite companies] really [are] a nice mix of where we’re going in the future,” says Sohl.

As Washaway Beach’s erosion cuts further into inland Washington state, the freshwater cranberry bogs the area is known for are increasingly threatened with contamination from salt water. But with these technologies, scientists can look at the models and make decisions before Washaway Beach, the Ogallala Aquifer and other places like them fall off the map. 

“Imagine being able to do this kind of projection … and doing it on a national scale or even a global scale,” Doucette adds. “That’s our hope; this is still kind of cutting-edge research.” 

Soon, satellites will be able to watch you everywhere all the time (MIT Technology Review)

Can privacy survive?

Christopher Beam

June 26, 2019


In 2013, police in Grants Pass, Oregon, got a tip that a man named Curtis W. Croft had been illegally growing marijuana in his backyard. So they checked Google Earth. Indeed, the four-month-old satellite image showed neat rows of plants growing on Croft’s property. The cops raided his place and seized 94 plants.

In 2018, Brazilian police in the state of Amapá used real-time satellite imagery to detect a spot where trees had been ripped out of the ground. When they showed up, they discovered that the site was being used to illegally produce charcoal, and arrested eight people in connection with the scheme.

Chinese government officials have denied or downplayed the existence of Uighur reeducation camps in Xinjiang province, portraying them as “vocational schools.” But human rights activists have used satellite imagery to show that many of the “schools” are surrounded by watchtowers and razor wire.

Every year, commercially available satellite images are becoming sharper and taken more frequently. In 2008, there were 150 Earth observation satellites in orbit; by now there are 768. Satellite companies don’t offer 24-hour real-time surveillance, but if the hype is to be believed, they’re getting close. Privacy advocates warn that innovation in satellite imagery is outpacing the US government’s (to say nothing of the rest of the world’s) ability to regulate the technology. Unless we impose stricter limits now, they say, one day everyone from ad companies to suspicious spouses to terrorist organizations will have access to tools previously reserved for government spy agencies. Which would mean that at any given moment, anyone could be watching anyone else.

The images keep getting clearer

Commercial satellite imagery is currently in a sweet spot: powerful enough to see a car, but not enough to tell the make and model; collected frequently enough for a farmer to keep tabs on crops’ health, but not so often that people could track the comings and goings of a neighbor. This anonymity is deliberate. US federal regulations limit images taken by commercial satellites to a resolution of 25 centimeters, or about the length of a man’s shoe. (Military spy satellites can capture images far more granular, although just how much more is classified.)

Ever since 2014, when the National Oceanic and Atmospheric Administration (NOAA) relaxed the limit from 50 to 25 cm, that resolution has been fine enough to satisfy most customers. Investors can predict oil supply from the shadows cast inside oil storage tanks. Farmers can monitor flooding to protect their crops. Human rights organizations have tracked the flows of refugees from Myanmar and Syria.

But satellite imagery is improving in a way that investors and businesses will inevitably want to exploit. The imaging company Planet Labs currently maintains 140 satellites, enough to pass over every place on Earth once a day. Maxar, formerly DigitalGlobe, which launched the first commercial Earth observation satellite in 1997, is building a constellation that will be able to revisit spots 15 times a day. BlackSky Global promises to revisit most major cities up to 70 times a day. That might not be enough to track an individual’s every move, but it would show what times of day someone’s car is typically in the driveway, for instance.

Some companies are even offering live video from space. As early as 2014, a Silicon Valley startup called SkyBox (later renamed Terra Bella and purchased by Google and then Planet) began touting HD video clips up to 90 seconds long. And a company called EarthNow says it will offer “continuous real-time” monitoring “with a delay as short as about one second,” though some think it is overstating its abilities. Everyone is trying to get closer to a “living map,” says Charlie Loyd of Mapbox, which creates custom maps for companies like Snapchat and the Weather Channel. But it won’t arrive tomorrow, or the next day: “We’re an extremely long way from high-res, full-time video of the Earth.”

Some of the most radical developments in Earth observation involve not traditional photography but rather radar sensing and hyperspectral images, which capture electromagnetic wavelengths outside the visible spectrum. Clouds can hide the ground in visible light, but satellites can penetrate them using synthetic aperture radar, which emits a signal that bounces off the sensed object and back to the satellite. It can determine the height of an object down to a millimeter. NASA has used synthetic aperture radar since the 1970s, but the fact that the US approved it for commercial use only last year is testament to its power—and political sensitivity. (In 1978, military officials supposedly blocked the release of radar satellite images that revealed the location of American nuclear submarines.)

While GPS data from cell phones is a legitimate privacy threat, you can at least decide to leave your phone at home. It’s harder to hide from a satellite camera.

Meanwhile, farmers can use hyperspectral sensing to tell where a crop is in its growth cycle, and geologists can use it to detect the texture of rock that might be favorable to excavation. But it could also be used, whether by military agencies or terrorists, to identify underground bunkers or nuclear materials. 

The resolution of commercially available imagery, too, is likely to improve further. NOAA’s 25-centimeter cap will come under pressure as competition from international satellite companies increases. And even if it doesn’t, there’s nothing to stop, say, a Chinese company from capturing and selling 10 cm images to American customers. “Other companies internationally are going to start providing higher-­resolution imagery than we legally allow,” says Therese Jones, senior director of policy for the Satellite Industry Association. “Our companies would want to push the limit down as far as they possibly could.”

What will make the imagery even more powerful is the ability to process it in large quantities. Analytics companies like Orbital Insight and SpaceKnow feed visual data into algorithms designed to let anyone with an internet connection understand the pictures en masse. Investors use this analysis to, for example, estimate the true GDP of China’s Guangdong province on the basis of the light it emits at night. But burglars could also scan a city to determine which families are out of town most often and for how long.

Satellite and analytics companies say they’re careful to anonymize their data, scrubbing it of identifying characteristics. But even if satellites aren’t recognizing faces, those images combined with other data streams—GPS, security cameras, social-media posts—could pose a threat to privacy. “People’s movements, what kinds of shops do you go to, where do your kids go to school, what kind of religious institutions do you visit, what are your social patterns,” says Peter Martinez, of the Secure World Foundation. “All of these kinds of questions could in principle be interrogated, should someone be interested.”

Like all tools, satellite imagery is subject to misuse. Its apparent objectivity can lead to false conclusions, as when the George W. Bush administration used it to make the case that Saddam Hussein was stockpiling chemical weapons in Iraq. Attempts to protect privacy can also backfire: in 2018, a Russian mapping firm blurred out the sites of sensitive military operations in Turkey and Israel—inadvertently revealing their existence, and prompting web users to locate the sites on other open-source maps.

Capturing satellite imagery with good intentions can have unintended consequences too. In 2012, as conflict raged on the border between Sudan and South Sudan, the Harvard-based Satellite Sentinel Project released an image that showed a construction crew building a tank-capable road leading toward an area occupied by the Sudanese People’s Liberation Army. The idea was to warn citizens about the approaching tanks so they could evacuate. But the SPLA saw the images too, and within 36 hours it attacked the road crew (which turned out to consist of Chinese civilians hired by the Sudanese government), killed some of them, and kidnapped the rest. As an activist, one’s instinct is often to release more information, says Nathaniel Raymond, a human rights expert who led the Sentinel project. But he’s learned that you have to take into account who else might be watching.

It’s expensive to watch you all the time

One thing that might save us from celestial scrutiny is the price. Some satellite entrepreneurs argue that there isn’t enough demand to pay for a constellation of satellites capable of round-the-clock monitoring at resolutions below 25 cm. “It becomes a question of economics,” says Walter Scott, founder of DigitalGlobe, now Maxar. While some companies are launching relatively cheap “nanosatellites” the size of toasters—the 120 Dove satellites launched by Planet, for example, are “orders of magnitude” cheaper than traditional satellites, according to a spokesperson—there’s a limit to how small they can get and still capture hyper-detailed images. “It is a fundamental fact of physics that aperture size determines the limit on the resolution you can get,” says Scott. “At a given altitude, you need a certain size telescope.” That is, in Maxar’s case, an aperture of about a meter across, mounted on a satellite the size of a small school bus. (While there are ways around this limit—interferometry, for example, uses multiple mirrors to simulate a much larger mirror—they’re complex and pricey.) Bigger satellites mean costlier launches, so companies would need a financial incentive to collect such granular data.

That said, there’s already demand for imagery with sub–25 cm resolution—and a supply of it. For example, some insurance underwriters need that level of detail to spot trees overhanging a roof, or to distinguish a skylight from a solar panel, and they can get it from airplanes and drones. But if the cost of satellite images came down far enough, insurance companies would presumably switch over.

Of course, drones can already collect better images than satellites ever will. But drones are limited in where they can go. In the US, the Federal Aviation Administration forbids flying commercial drones over groups of people, and you have to register a drone that weighs more than half a pound (227 grams) or so. There are no such restrictions in space. The Outer Space Treaty, signed in 1967 by the US, the Soviet Union, and dozens of UN member states, gives all states free access to space, and subsequent agreements on remote sensing have enshrined the principle of “open skies.” During the Cold War this made sense, as it allowed superpowers to monitor other countries to verify that they were sticking to arms agreements. But the treaty didn’t anticipate that it would one day be possible for anyone to get detailed images of almost any location.

And then there are the tracking devices we carry around in our pockets, a.k.a. smartphones. But while the GPS data from cell  phones is a legitimate privacy threat, you can at least decide to leave your phone at home. It’s harder to hide from a satellite camera. “There’s some element of ground truth—no pun intended—that satellites have that maybe your cell phone or digital record or what happens on Twitter [doesn’t],” says Abraham Thomas, chief data officer at the analytics company Quandl. “The data itself tends to be innately more accurate.”

The future of human freedom

American privacy laws are vague when it comes to satellites. Courts have generally allowed aerial surveillance, though in 2015 the New Mexico Supreme Court ruled that an “aerial search” by police without a warrant was unconstitutional. Cases often come down to whether an act of surveillance violates someone’s “reasonable expectation of privacy.” A picture taken on a public sidewalk: fair game. A photo shot by a drone through someone’s bedroom window: probably not. A satellite orbiting hundreds of miles up, capturing video of a car pulling into the driveway? Unclear.

That doesn’t mean the US government is powerless. It has no jurisdiction over Chinese or Russian satellites, but it can regulate how American customers use foreign imagery. If US companies are profiting from it in a way that violates the privacy of US citizens, the government could step in.

Raymond argues that protecting ourselves will mean rethinking privacy itself. Current privacy laws, he says, focus on threats to the rights of individuals. But those protections “are anachronistic in the face of AI, geospatial technologies, and mobile technologies, which not only use group data, they run on group data as gas in the tank,” Raymond says. Regulating these technologies will mean conceiving of privacy as applying not just to individuals, but to groups as well. “You can be entirely ethical about personally identifiable information and still kill people,” he says.

Until we can all agree on data privacy norms, Raymond says, it will be hard to create lasting rules around satellite imagery. “We’re all trying to figure this out,” he says. “It’s not like anything’s riding on it except the future of human freedom.”

Christopher Beam is a writer based in Los Angeles.

The space issue

This story was part of our July 2019 issue

NOAA Acknowledges the New Reality of Hurricane Season (Gizmodo)

earther.gizmodo.com

Molly Taft, March 2, 2021


This combination of satellite images provided by the National Hurricane Center shows 30 hurricanes that occurred during the 2020 Atlantic hurricane season.
This combination of satellite images provided by the National Hurricane Center shows 30 hurricanes that occurred during the 2020 Atlantic hurricane season.

We’re one step closer to officially moving up hurricane season. The National Hurricane Center announced Tuesday that it would formally start issuing its hurricane season tropical weather outlooks on May 15 this year, bumping it up from the traditional start of hurricane season on June 1. The move comes after a recent spate of early season storms have raked the Atlantic.

Atlantic hurricane season runs from June 1 to November 30. That’s when conditions are most conducive to storm formation owing to warm air and water temperatures. (The Pacific ocean has its own hurricane season, which covers the same timeframe, but since waters are colder fewer hurricanes tend to form there than in the Atlantic.)

Storms have begun forming on the Atlantic earlier as ocean and air temperatures have increased due to climate change. Last year, Hurricane Arthur roared to life off the East Coast on May 16. That storm made 2020 the sixth hurricane season in a row to have a storm that formed earlier than the June 1 official start date. While the National Oceanic and Atmospheric Administration won’t be moving up the start of the season just yet, the earlier outlooks addresses the recent history.

“In the last decade, there have been 10 storms formed in the weeks before the traditional start of the season, which is a big jump,” said Sean Sublette, a meteorologist at Climate Central, who pointed out that the 1960s through 2010s saw between one and three storms each decade before the June 1 start date on average.

It might be tempting to ascribe this earlier season entirely to climate change warming the Atlantic. But technology also has a role to play, with more observations along the coast as well as satellites that can spot storms far out to sea.

“I would caution that we can’t just go, ‘hah, the planet’s warming, we’ve had to move the entire season!’” Sublette said. “I don’t think there’s solid ground for attribution of how much of one there is over the other. Weather folks can sit around and debate that for awhile.”

Earlier storms don’t necessarily mean more harmful ones, either. In fact, hurricanes earlier in the season tend to be weaker than the monsters that form in August and September when hurricane season is at its peak. But regardless of their strength, these earlier storms have generated discussion inside the NHC on whether to move up the official start date for the season, when the agency usually puts out two reports per day on hurricane activity. Tuesday’s step is not an official announcement of this decision, but an acknowledgement of the increased attention on early hurricanes.

“I would say that [Tuesday’s announcement] is the National Hurricane Center being proactive,” Sublette said. “Like hey, we know that the last few years it’s been a little busier in May than we’ve seen in the past five decades, and we know there is an awareness now, so we’re going to start issuing these reports early.”

While the jury is still out on whether climate change is pushing the season earlier, research has shown that the strongest hurricanes are becoming more common, and that climate change is likely playing a role. A study published last year found the odds of a storm becoming a major hurricanes—those Category 3 or stronger—have increase 49% in the basin since satellite monitoring began in earnest four decades ago. And when storms make landfall, sea level rise allows them to do more damage. So regardless of if climate change is pushing Atlantic hurricane season is getting earlier or not, the risks are increasing. Now, at least, we’ll have better warnings before early storms do hit.

IBM will no longer offer, develop, or research facial recognition technology (The Verge)

IBM’s CEO says we should reevaluate selling the technology to law enforcement

By Jay Peters Jun 8, 2020, 8:49pm EDT

Original article

IBM will no longer offer general purpose facial recognition or analysis software, IBM CEO Arvind Krishna said in a letter to Congress today. The company will also no longer develop or research the technology, IBM tells The Verge. Krishna addressed the letter to Sens. Cory Booker (D-NJ) and Kamala Harris (D-CA) and Reps. Karen Bass (D-CA), Hakeem Jeffries (D-NY), and Jerrold Nadler (D-NY).

“IBM firmly opposes and will not condone uses of any [facial recognition] technology, including facial recognition technology offered by other vendors, for mass surveillance, racial profiling, violations of basic human rights and freedoms, or any purpose which is not consistent with our values and Principles of Trust and Transparency,” Krishna said in the letter. “We believe now is the time to begin a national dialogue on whether and how facial recognition technology should be employed by domestic law enforcement agencies.” Facial recognition software has come under scrutiny for issues with racial bias and privacy concerns

Facial recognition software has improved greatly over the last decade thanks to advances in artificial intelligence. At the same time, the technology — because it is often provided by private companies with little regulation or federal oversight — has been shown to suffer from bias along lines of age, race, and ethnicity, which can make the tools unreliable for law enforcement and security and ripe for potential civil rights abuses.

In 2018, research by Joy Buolamwini and Timnit Gebru revealed for the first time the extent to which many commercial facial recognition systems (including IBM’s) were biased. This work and the pair’s subsequent studies led to mainstream criticism of these algorithms and ongoing attempts to rectify bias.

A December 2019 National Institute of Standards and Technology study found “empirical evidence for the existence of a wide range of accuracy across demographic differences in the majority of the current face recognition algorithms that were evaluated,” for example. The technology has also come under fire for its role in privacy violations.

Notably, NIST’s study did not include technology from Amazon, which is one of the few major tech companies to sell facial recognition software to law enforcement. Yet Rekognition, the name of the program, has also been criticized for its accuracy. In 2018, the American Civil Liberties Union found that Rekognition incorrectly matched 28 members of Congress to faces picked from 25,000 public mugshots, for example.

Another company, Clearview AI, has come under heavy scrutiny starting earlier this year when it was discovered that its facial recognition tool, built with more than 3 billion images compiled in part from scraping social media sites, was being widely used by private sector companies and law enforcement agencies. Clearview has since been issued numerous cease and desist orders and is at the center of a number of privacy lawsuits. Facebook was also ordered in January to pay $550 million to settle a class-action lawsuit over its unlawful use of facial recognition technology.

IBM has tried to help with the issue of bias in facial recognition, releasing a public data set in 2018 designed to help reduce bias as part of the training data for a facial recognition model. But IBM was also found to be sharing a separate training data set of nearly one million photos in January 2019 taken from Flickr without the consent of the subjects — though the photos were shared under a Creative Commons license. IBM told The Verge in a statement at the time that the data set would only be accessed by verified researchers and only included images that were publicly available. The company also said that individuals can opt-out of the data set.

In his letter, Krishna also advocated for police reform, arguing that more police misconduct cases should be put under the purview of federal court and that Congress should make changes to qualified immunity doctrine, among other measures. In addition, Krishna said that “we need to create more open and equitable pathways for all Americans to acquire marketable skills and training,” and he suggested Congress consider scaling the P-TECH school model nationally and expanding eligibility for Pell Grants.

Update, June 9th, 2:45AM ET: This story has been updated to reference the work of AI researchers Joy Buolamwini and Timnit Gebru, whose 2018 Gender Shades project provided the first comprehensive empirical data on bias in facial recognition systems.

CPTEC/INPE desenvolve novo conceito de sistema de previsão, monitoramento e de alertas para ondas e ressacas (CPTEC)

Atualizado em 15/05/2014 13:54

Sistema também pode ser utilizado para avaliar impactos ambientais em regiões costeiras

O grupo do CPTEC/INPE dedicado à previsão de agitação marítima lançou há dois anos em sua página de previsão de ondas a primeira fase do Sistema de Previsão e Monitoramento Costeiro (SIMCos) para 61 pontos da costa brasileira (link no canto superior direito da página http://ondas.cptec.inpe.br/). A segunda fase deste projeto foi concluída recentemente, colocando em operação um sistema de avaliação de impactos de ondas e marés, de alta resolução, para um daqueles 61 pontos do litoral brasileiro: a Baia de Vitória, no Espírito Santo. Esta região do litoral capixaba foi escolhida como área teste para avaliar o funcionamento completo do SIMCos (Sistema de Previsão e Monitoramento Costeiro), concebido para disparar um segundo sistema, como este voltado à Baia de Vitória, quando houver previsões de ondas ultrapassando limites que envolvam riscos ambientais e às atividades na costa.

O SIMCos, projeto temático da FAPESP, gera previsões diárias de ondas, indicando situações de risco ao comparar os níveis de ondas de cada um dos cerca de 60 pontos da costa brasileira a uma climatologia de 30 anos (condições atmosféricas de resolução espacial de 0,3 grau e temporal de 1 hora) da agitação marítima destes mesmos pontos. Para a baía capixaba, que abrange a ilha de Vitória, região metropolitana e os portos de Tubarão e Vitória, foram desenvolvidos modelos com o objetivo de monitorar e avaliar os possíveis impactos, através de simulações numéricas de ondas, de circulação, das marés astronômicas e meteorológicas, com alta resolução temporal e espacial, e capaz, se necessário, de emitir alertas de ressacas.

A plataforma do SIMCos foi composta pelo modelo WWATCH, do NCEP/NOAA, cujas previsões são rodadas em um computador de 120 processadores, obtido exclusivamente para o projeto. Segundo o pesquisador responsável pelo desenvolvimento do SIMCos, Valdir Innocentini, os 61 pontos de previsão e monitoramento ao longo da costa brasileira estão distantes entre si de 100 a 200 quilômetros, e se situam sobre uma linha de profundidade de 100 metros, aproximadamente, para que os efeitos do relevo oceânico não interfiram muito nas características das ondas. Já para o sistema desenvolvido para o litoral capixaba, foi utilizado o modelo holandês de circulação costeira e marés DELFT3D, com condições atmosféricas simuladas pelo modelo WRF (Weather Research Forecasting Model), dos Estados Unidos, e condições iniciais e de contorno hidrodinâmicas do modelo francês global Mercator.

O sistema implementado na Baía de Vitória permite simular e avaliar impactos relacionados à vazão de rios, circulação e interação de água doce e oceânica, erosão, dispersão e transporte de sedimentos e poluentes (como manchas de petróleo), entre outras aplicações. Também simula os efeitos das marés para obras de dragagem, construção de obras civis, como ampliação de portos, prevendo áreas de assoreamento e de possíveis danos ambientais. O desenvolvimento deste módulo do SIMCos contou com a cooperação da Universidade Federal do Rio de Janeiro (UFRJ), Universidade Federal do Espírito Santo (UFES) e Universidade Nacional Autonoma do México (UNAM).

Segundo Innocentini, o desenvolvimento do SIMCos, alcançou seu objetivo, que era viabilizar um conceito de sistema de alerta, com potencial para ser lançado operacionalmente cobrindo toda a costa brasileira. Para implementar o sistema completo, o pesquisador do CPTEC/INPE explica que seria necessário um novo projeto que permitisse colocar em operação os modelos de alta resolução para cada uma das regiões associadas aos 60 pontos restantes do SIMCos. Para tal empreitada, seria preciso desenhar a grade do relevo submerso de cada uma destas regiões costeiras, com base na batimetria destas áreas.

O desenvolvimento destes modelos de maior resolução – melhor precisão e refinamento para boa parte da costa brasileira – permitiria a simulação de impactos dos movimentos de marés e ressacas nas diferentes atividades econômicas costeiras, como extração de petróleo, turismo e náutica. Os modelos também teriam aplicações em pesquisas ambientais, com possíveis aplicações na área de mudanças climáticas, além de atuarem como uma poderosa ferramenta de monitoramento ambiental capaz de oferecer subsídios a ações fiscais na costa e à formulação de políticas ambientais.

 

Kinsey Reporter: Free App Allows Public to Anonymously Report, Share Information On Sexual Behavior (Science Daily)

ScienceDaily (Sep. 5, 2012) — Indiana University has released Kinsey Reporter, a global mobile survey platform for collecting and reporting anonymous data about sexual and other intimate behaviors. The pilot project allows citizen observers around the world to use free applications now available for Apple and Android mobile platforms to not only report on sexual behavior and experiences, but also to share, explore and visualize the accumulated data.

The Kinsey Reporter platform is available free from Apple iOS and Google Play (for Android) online stores. Reports made by anonymous citizen scientists will be used for research and shared with the public at the Kinsey Reporter website. (Credit: Image courtesy of Indiana University)

“People are natural observers. It’s part of being social, and using mobile apps is an excellent way to involve citizen scientists,” said Julia Heiman, director of The Kinsey Institute for Research in Sex, Gender and Reproduction. “We expect to get new insights into sexuality and relationships today. What do people notice, what are they involved in, and what can they relate to us about their lives and their communities?”

The project will collect anonymous data and then aggregate and share it openly. Kinsey Reporter is a joint project between The Kinsey Institute and the Center for Complex Networks and Systems Research, or CNetS, which is part of the IU School of Informatics and Computing and the Pervasive Technology Institute. Both Kinsey and CNetS are based on the IU Bloomington campus.

CNetS director Filippo Menczer called development of the citizen reporting platform an opportunity to gather information on important issues that may have been difficult to examine in the past.

“This new platform will allow us to explore issues that have been challenging to study until now, such as the prevalence of unreported sexual violence in different parts of the world, or the correlation between various sexual practices like condom use, for example, and the cultural, political, religious or health contexts in particular geographical areas. These were some of our initial motivations for the project,” he said.

Users simply download the free app and begin contributing observed information on topics such as sexual activity, public displays of affection, flirting, unwanted experiences and birth control use. Even though no information identifying users submitting reports is collected or stored, the time and general location of the report is collected and input into the database. Users also have the option of selecting their own geographic preference for the report by choosing city/town, state/region or country.

Surveys will change over time, and users can view aggregated reports by geographic region via interactive maps, timelines or charts. All of these reporting venues can be manipulated with filters that remove or add data based on specific survey topics and questions selected by the user.

Both Heiman and Menczer said The Kinsey Institute’s longstanding seminal studies of sexual behaviors created a perfect synergy with research going on at CNetS related to mining big data crowd-sourced from mobile social media. The sensitive domain — sexual relations — added an intriguing challenge in finding a way to share useful data with the community while protecting the privacy and anonymity of the reporting volunteers, they added.

Reports are transmitted to Kinsey Reporter using a secure, encrypted protocol, and the only data collected are a timestamp, the approximate geo-location selected by the user, and the tags the user chooses in response to various survey questions. The protections and anonymity provided to those responding to surveys allowed IU’s Institutional Review Board to classify the research as “exempt from review,” which allows the data to be used for research and shared without requiring informed consent from users of the apps.

The Kinsey Reporter platform is now in public beta release. Apps are available for free download at both the Apple iOS and Android app stores. Accompanying the app release are a Kinsey Reporter website, a Twitter feed and a Facebook page. The four resources also provide links to information about sexuality, such as blogs and podcasts from the Kinsey Confidential website. YouTube videos on “What Is the Kinsey Reporter App” and “Making the Kinsey Reporter App” are also available for viewing.

The Kinsey Institute receives support from the Office of the Vice Provost for Research at IU Bloomington, which is dedicated to supporting ongoing faculty research and creative activity and developing new multidisciplinary initiatives to enhance opportunities for federal, state and private research funding.