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Justin Amash, Rashida Tlaib question facial recognition technique used by Detroit police

John Seung-Hwan Shin
Wikimedia Commons Creative Commons license https://creativecommons.org/licenses/by/3.0/deed.en
Surveillance camera


U.S. Reps. Rashida Tlaib and Justin Amash raised questions this week in a hearing about the use of facial recognition technology by law enforcement agencies, including Detroit Police Department.

The hearing was held Wednesday by the U.S. House Committee on Oversight and Reform.

The hearing came after a report by the Georgetown Law's Center on Privacy and Technology found Detroit has become a pioneer in deploying facial recognition technology to try to find suspects in criminal cases.

The Georgetown study says Detroit signed a three-year, $1 million contract with DataWorks Plus, a South Carolina company that offers “real time” face recognition services on video streams.

The study notes that the facial recognition system was designed to be able to connect to the hundreds of video streams from around the city that the police department monitors through a program called Project Green Light. And it could go even further, according to the study:

DPD’s face surveillance system may expand beyond Project Green Light as well. The Department’s face recognition policy, which went into effect on July 1, 2018, states that DPD “may connect the face recognition system to any interface that performs live video, including cameras, drone footage, and body-worn cameras.”

At Wednesday’s hearing, U.S. Rep. Rashida Tlaib, D-Mich., whose district includes parts of Detroit, raised questions about how the Detroit Police Department has used the new technology.

“With little to no input, the city of Detroit created one of the nation’s most pervasive and sophisticated surveillance networks with real-time facial recognition technology,” Tlaib said during the hearing.

She said the residents of her district already face economic problems, and structural racism. On top of it, she said policing has become more “militarized and flawed.”

“Now we have for-profit companies pushing so-called technology that has never been tested in communities of color, let alone been studied enough to conclude that it makes our communities safer,” Tlaib said.

Bias built in

The ability of computer programs to recognize and identify faces has grown rapidly in recent years. Many people encounter it when they upload a photo of a friend to Facebook, and Facebook identifies the friend, and suggests tagging them in the photo. iPhone users can also now unlock their phones using their face.

But this technology has also been increasingly used by law enforcement to identify suspects. And that’s raised serious concerns for many people who track the technology.

Joy Boulamwiniis a researcher at MIT, and she’s studied the biases embedded in how computer programs identify human faces.

"They had error rates of over 30 percent for darker skin females and zero percent error rates for lighter skin men," said Joy Buolamwini, an MIT researcher who studies biases in facial recognition technology.


She testified that facial recognition algorithms are often trained with photo sets that disproportionately contain photos of white men. So the algorithms for facial recognition, such as Amazon Rekognition, make more mistakes on people with darker skin, and people who are not men.

“They had error rates of over 30 percent for darker skin females and zero percent error rates for lighter skin men,” Buolamwini said at the hearing. “So it is the case that there is verifiable research that shows you have issues with Amazon Rekognition.”

Buolamwini has also found biases in the software created by IBM and Microsoft. In one study, she analyzed the photos of famous, iconic black women. The programs frequently made mistakes identifying the women.

“In one test I ran, Amazon Rekognition even failed on the face of Oprah Winfrey, labeling her male,” Buolamwini told members of the committee.

These biases, Buolamwini and others testified, could have serious consequences as the technologies are applied to police work. The problem of a misidentification could lead to innocent people being detained or arrested. And because the programs make mistakes more often with people of darker skin, those mistakes will affect people of color more than others.

The policy in Detroit

Still, the Detroit Police Department is defending the use of the technology. Chief James Craig wrote a letter responding to the Georgetown study, saying he takes “great umbrage” at the suggestion the department is using the technology to monitor innocent people in real time.

“If there is a report of a crime or a crime is witnessed by a DPD member, the crime is reported to sworn members to investigate,” Craig wrote. “If there is articulable reasonable suspicion that an individual is observed or reported to have committed a crime, only then is their still image provided for analysis with the Facial Recognition Program.”

The Detroit Police Department has a nine-page policy on when and how the facial recognition system can be used. The Georgetown Law's Center on Privacy and Technology obtained a copy of the policy and posted it online, along with other materials it received from the city regarding the program.

The policy outlines who has access to the software and says it only can be used in active investigations where there is “reasonable suspicion” that a person committed a crime, or is planning to commit one.

The policy also allows officers to request permission from the department’s legal advisors to collect “face images” at “First Amendment-protected events,” which could include political rallies.

The department has not said if it has ever done so. Nor has it disclosed how many times the facial recognition software has been used overall, or how effective it’s been.

Fourth Amendment concerns

At Wednesday’s hearing, there were other questions about whether the technology should ever be used, even in cases where there’s a legitimate criminal suspect being investigated.


"[I]n order to identify the face of the person you're looking for, you have to scan every single face of everybody else, who you're not looking for," says Clare Garvie of the Georgetown Law Center on Privacy & Technology.



“Even if we require law enforcement to get a warrant to run a search on face recognition data from surveillance cameras, would it be possible for such cameras to use such face recognition technology in public areas without effectively gathering or discovering information on innocent people who are not the subject of an investigation?” asked U.S. Rep. Justin Amash, R-Mich.

“No,” responded Clare Garvie, the researcher at Georgetown who was the lead author on the facial recognition study. “That’s not the way the face recognition systems work. Unfortunately, in order to identify the face of the person you’re looking for, you have to scan every single face of everybody else, who you’re not looking for.”

One question this raises is whether such a scan would violate a person’s rights under the Fourth Amendment to the Constitution, which protect people in America from unreasonable searches.

"A lot of agreement"

At Wednesday’s House oversight committee hearing, lawmakers from both sides of the aisle seemed to agree that the use of facial recognition searches by law enforcement should at least be regulated, if not banned.

“There is a lot of agreement here, thank God,” said House oversight committee chairman Elijah Cummings, D-Maryland, who added that he’s optimistic the hearings will result in legislation

Even one of the experts who testified during the more than two-hour-long hearing seemed to change his mind as the hearing went on.

“I certainly would rather not see a moratorium,” said Cedric Alexander, the former president of the National Organization of Black Law Enforcement Executives. “However, if the issues that have been articulated here today are as serious as we believe they to be, then we have to go back and ask ourselves that question.”

For now, the Detroit Police Department hasn’t announced any changes to its own policy of using facial recognition software.

You can watch the full hearing on facial recognition software by the U.S. House Committee on Oversight and Reform below:

Dustin Dwyer reports enterprise and long-form stories from Michigan Public’s West Michigan bureau. He was a fellow in the class of 2018 at the Nieman Foundation for Journalism at Harvard. He’s been with Michigan Public since 2004, when he started as an intern in the newsroom.