- Emerging tech is making it more efficient and inexpensive for police across the country to scale up their surveillance operations.
- Drones, facial recognition, and algorithm-driven policing are a few of the many technologies aiding police operations.
- The surveillance tech has reportedly been deployed across the US as protests sweep the country following the death of George Floyd.
- Human rights advocates have raised the alarm about new policing technologies, highlighting their potential threats to privacy, free speech, and due process.
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Emerging technology is giving police departments new ways to track suspects and head off possible crimes. It’s also rapidly expanding the scope of police surveillance of civilians.
Police across the country are using tech to widen the scope of people and platforms that they monitor. This surveillance is rarely publicized given the sensitive nature of police investigations, but details of police tactics have regularly surfaced through lawsuits, public records disclosures, and success stories touted by police departments as examples of successful crime prevention.
Law enforcement agencies have made full use of high-tech surveillance tools as protests sweep the country following the death of George Floyd. A predator drone operated by Customs and Border Patrol circled above protesters in Minneapolis Friday, Motherboard first reported. Police have also reportedly dug into the smartphones of arrested protesters to glean their personal information.
Human rights advocates have raised the alarm about the acceleration of police surveillance using new technology. A report published by the Brennan Center for Justice this week compiles tactics used by the New York Police Department, highlighting their potential threats to privacy, free speech, and due process.
While this technology is relatively new, it’s already widely used across the US. Databases of people’s faces compiled by local police departments now contain over half of American adults, according to a study by researchers at Georgetown.
Some cities have begun to take action to regulate police use of technology for surveillance. San Francisco became the first city to ban the use of facial recognition software by police in May, and the New York City Council is currently weighing a bill to force the NYPD to publicly disclose their tactics involving surveillance technology.
But in the absence of such regulation, police tactics are largely opaque, and there isn’t much court precedent for how transparent police departments are obligated to be regarding their surveillance methods.
Here’s what we do know about how police departments across the US are using technology for surveillance.
Facial recognition technology is now sophisticated enough for police to use stationary cameras to perform real-time scans of crowds of people walking through the streets or public squares, with AI searching for potential matches to faces of known suspects. The technology is used by the FBI, as well as by police departments scattered across Florida, Ohio, Maryland, and California.
Facial recognition technology is fallible, however, and could potentially make a false match. For that reason, a coalition of activists and AI programmers have called for law enforcement agencies to stop using the technology, NBC News reported.
Like facial recognition, video analytics software scans footage and uses artificial intelligence to identify people and objects that could provide clues to law enforcement, like bags, clothes, or cars that could be tied to a suspect.
It’s unclear exactly how many police departments nationwide use video analytics software. IBM licensed its version of the software to multiple police departments before withdrawing it from the market last April, although it continues to support police departments with existing contracts.
Social media tracking
Law enforcement agencies are taking advantage of social media platforms’ massive reach and ready-made surveillance tools, such as the ability to search users by name and identify a network of their friends and family.
In a survey of more than 500 local police departments in 2016, three-quarters reported using social media to solicit tips and gather intelligence for investigations. Another 60% reported that they directly contacted social media companies to obtain information related to a suspect.
Police are using algorithms to parse crime data in order to predict where future crimes are likely to occur, as well as to generate lists of individuals who the AI thinks may be likely to commit a crime.
Little is known about the degree to which police departments use this technology, but a three-year legal fight between the Brennan Center and the NYPD has exposed how the department sought out such AI and used it routinely. The technology has also been used by police departments across California.
Cell tower simulators, or “Stingrays”
These devices send out powerful signals that mimic cell towers, tricking people’s cell phones within range into connecting to them. Once connected, police can use Stingrays to learn cell phones’ location and unique ID numbers.
Stingrays are used by 75 police departments in 27 states, according to the ACLU. Fourteen national agencies, including Immigration and Customs Enforcement, the FBI, and the IRS are also known to use Stingrays.
Drones, surveillance towers, and more cameras
Advances in tech are making it more inexpensive for police departments to maintain complex networks of surveillance towers, cameras, and drones to monitor large swaths of areas simultaneously.
While maintaining networks of cameras is more common among large urban police forces, more than 165 police departments across the US purchased drones in 2016. Police use drones to map cities, hunt down suspects or victims, investigate crime scenes, and monitor traffic.