Jim Harper, director of information policy at the Cato Institute, adds to NextGov that investigators pair facial recognition technology with publically available social networks in order to build bigger profiles. Facial recognition "is more accurate with a Google or a Facebook, because they will have anywhere from a half-dozen to a dozen pictures of an individual, whereas I imagine the FBI has one or two mug shots," he says. When these files are then fed to law enforcement agencies on local, federal and international levels, intelligence databases that include everything from close-ups of eyeballs and irises to online interests could be shared among offices.
The FBI expects the NGI system to include as many as 14 million photographs by the time the project is in full swing in only two years, but the pace of technology and the new connections constantly created by law enforcement agencies could allow for a database that dwarfs that estimate. As RT reported earlier this week, the city of Los Angeles now considers photography in public space “suspicious,” and authorizes LAPD officers to file reports if they have reason to believe a suspect is up to no good. Those reports, which may not necessarily involve any arrests, crimes, charges or even interviews with the suspect, can then be filed, analyzed, stored and shared with federal and local agencies connected across the country to massive data fusion centers. Similarly, live video transmissions from thousands of surveillance cameras across the country are believed to be sent to the same fusion centers as part of TrapWire, a global eye-in-the-sky endeavor that RT first exposed earlier this year.
“Facial recognition creates acute privacy concerns that fingerprints do not,” US Senator Al Franken (D-Minnesota) told the Senate Judiciary Committee’s subcommittee on privacy, technology and the law earlier this year. “Once someone has your faceprint, they can get your name, they can find your social networking account and they can find and track you in the street, in the stores you visit, the government buildings you enter, and the photos your friends post online.”
In his own testimony, Carnegie Mellon University Professor Alessandro Acquisti said to Sen. Franken, “the convergence of face recognition, online social networks and data mining has made it possible to use publicly available data and inexpensive technologies to produce sensitive inferences merely starting from an anonymous face.”
“Face recognition, like other information technologies, can be source of both benefits and costs to society and its individual members,” Prof. Acquisti added. “However, the combination of face recognition, social networks data and data mining can significant undermine our current notions and expectations of privacy and anonymity.”
With the latest report suggesting the NGI program is now a reality in America, though, it might be too late to try and keep the FBI from interfering with seemingly every aspect of life in the US, both private and public. As of July 18, 2012, the FBI reports, “The NGI program … is on scope, on schedule, on cost, and 60 percent deployed.”
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