Facial Recognition in Poor Neighborhoods

 Over about eight years, the American drugstore chain Rite Aid Corp quietly added facial recognition systems to 200 stores across the United States, in one of the largest rollouts of such technology among retailers in the country, a Reuters investigation found.



In the hearts of New York and metro Los Angeles, Rite Aid deployed the technology in largely lower-income, non-white neighborhoods, according to a Reuters analysis. And for more than a year, the retailer used state-of-the-art facial recognition technology from a company with links to China and its authoritarian government.

In telephone and email exchanges with Reuters since February, Rite Aid confirmed the existence and breadth of its facial recognition program. The retailer defended the technology’s use, saying it had nothing to do with race and was intended to deter theft and protect staff and customers from violence. Reuters found no evidence that Rite Aid’s data was sent to China.

Last week, however, after Reuters sent its findings to the retailer, Rite Aid said it had quit using its facial recognition software. It later said all the cameras had been turned off.

‘A PROMISING NEW TOOL’Rite Aid, afflicted with financial losses in recent years, is not the only retailer to adopt or explore facial recognition technology.Two years ago, the Loss Prevention Research Council, a coalition founded by retailers to test anti-crime techniques, called facial recognition “a promising new tool” worthy of evaluation.“There are a handful of retailers that have made the decision, ‘Look, we need to leverage tech to sell more and lose less,” said council director Read Hayes. Rite Aid’s program was one of the largest, if not the largest, in retail, Hayes said. The Camp Hill, Pennsylvania-based company operates about 2,400 stores around the country.The Home Depot Inc. said it had been testing facial recognition to reduce shoplifting in at least one of its stores but stopped the trial this year. A smaller rival, Menards, piloted systems in at least 10 locations as of early 2019, a person familiar with that effort said.Walmart Inc. has also tried out facial recognition in a handful of stores, said two sources with knowledge of the tests. Walmart and Menards had no comment.Using facial recognition to approach people who previously have committed “dishonest acts” in a store before they do so again is less dangerous for staff, said Rite Aid’s former vice president of asset protection, Bob Oberosler, who made the decision to deploy an early facial recognition system at Rite Aid. That way, “there was significantly less need for law enforcement involvement,” he said.

“This decision was in part based on a larger industry conversation,” the company told Reuters in a statement, adding that “other large technology companies seem to be scaling back or rethinking their efforts around facial recognition given increasing uncertainty around the technology’s utility.”

Reuters pieced together how the company’s initiative evolved, how the software has been used and how a recent vendor was linked to China, drawing on thousands of pages of internal documents from Rite Aid and its suppliers, as well as direct observations during store visits by Reuters journalists and interviews with more than 40 people familiar with the systems’ deployment. Most current and former employees spoke on condition of anonymity, saying they feared jeopardizing their careers.

While Rite Aid declined to disclose which locations used the technology, Reuters found facial recognition cameras at 33 of the 75 Rite Aid shops in Manhattan and the central Los Angeles metropolitan area during one or more visits from October through July.

The cameras were easily recognizable, hanging from the ceiling on poles near store entrances and in cosmetics aisles. Most were about half a foot long, rectangular and labeled either by their model, “iHD23,” or by a serial number including the vendor’s initials, “DC.” In a few stores, security personnel – known as loss prevention or asset protection agents – showed Reuters how they worked.

The cameras matched facial images of customers entering a store to those of people Rite Aid previously observed engaging in potential criminal activity, causing an alert to be sent to security agents’ smartphones. Agents then reviewed the match for accuracy and could tell the customer to leave.

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