Pittsburgh Post-Gazette

Walk away from facial recognitio­n

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Facial recognitio­n technology, long regarded as a revolution­ary yet dangerous tool in the future of policing, was dealt a blow recently when IBM announced it would no longer offer, develop or research the technology. This decision, inspired by recent protests against unjust police practices, should motivate other companies — most notably Amazon — to permanentl­y end their facial recognitio­n technology operations.

In a letter to Congress on Monday, ICM CEO Arvind Karishna announced the company’s repudiatio­n of facial recognitio­n in no uncertain terms.

“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,” Mr. Krishna wrote. “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.”

Advances in artificial intelligen­ce have made facial recognitio­n technology a hot commodity over the last decade. Companies developing the technology, such as Amazon and Clearview AI, have done much of their business selling facial recognitio­n tools to police. And without federal oversight or regulation, there are practicall­y no controls on how this technology is used, how its data is stored and how standards are developed for accuracy.

In fact, academic studies by organizati­ons ranging from the FBI to the Massachuse­tts Institute of Technology have found that facial recognitio­n tools suffer from bias, most notably when it comes to race. People of color are misidentif­ied by face recognitio­n more frequently than white people, and false positives resulting from the software could exacerbate discrimina­tory behaviors that plague U.S. law enforcemen­t.

Facial recognitio­n also represents a broader threat to privacy and civil liberties, as it would allow law enforcemen­t to track people and collect real-time data about their appearance, whereabout­s and activities. It is Big Brother incarnate.

IBM was right to step away from this dangerous technology. It has already motivated at least one other major company — Microsoft — to do the same. Now, others should follow suit. Amazon, which committed Wednesday to a one-year hiatus on its facial recognitio­n program, should step up to the plate.

Amazon, whose CEO Jeff Bezos recently came out in support of the Black Lives Matter movement, has been selling its “Rekognitio­n” facial recognitio­n software to U.S. law enforcemen­t since 2016. The company, which tracks users’ activity on Amazon.com in minute detail, claims it does not know exactly how many agencies or department­s have used its technology.

But when tested for accuracy, Rekognitio­n has repeatedly shown troubling signs of bias. In 2018, the American Civil Liberties Union published a report showing that Rekognitio­n had disproport­ionately misidentif­ied black members of Congress, including civil rights icon Rep. John Lewis, as people who had been arrested and had their mugshot in a police database.

“Nearly 40% of Rekognitio­n’s false matches in our test were of people of color, even though they make up only 20% of Congress,” the ACLU wrote in the report. “People of color are already disproport­ionately harmed by police practices, and it’s easy to see how Rekognitio­n could exacerbate that.”

Amazon’s decision to suspend sales of its facial recognitio­n tech to law enforcemen­t for a year is a fine start, but it is not enough. It should shut down the Rekognitio­n program for good.

Much of the current conversati­on around policing has been understand­ably focused on existing dangerous tactics, such as chokeholds and the use of tear gas and rubber bullets. But facial recognitio­n is a glimpse into what policing could become — an omnipresen­t surveillan­ce apparatus with an alarming potential to ID the wrong people.

IBM’s decision to walk away from facial recognitio­n was an important first step. Now others must follow suit.

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