Early uses of face recognition for background checks have already yielded harmful results. In the United Kingdom, Uber’s use of face recognition caused numerous misidentified individuals to lose their jobs. And over 20 states trust the background check service ID.me to use face recognition to run fraud checks on recipients of unemployment benefits, but this system has erroneously labeled individuals as fraudsters, “leading to massive delays in life-sustaining funds.”
Finally, misidentifications will likely become a danger when consumer-grade face recognition is deployed by online sleuths seeking to identify criminals. As a tool that’s quick and easy to use but unreliable in its results, face recognition could be the perfect storm for web sleuthing disasters. This field, which is rife with vigilantism, already has problems that have led to dangerous misidentifications. One case from 2019 shows how posting face recognition mismatches online could spiral out of control: After the 2019 Sri Lanka Easter bombings, authorities included a U.S. college student—based on a face recognition mismatch—on its public list of suspects, causing her to face a wave of death threats.
These risks are all amplified by the fact that face recognition has repeatedly been shown to misidentify women and people of color at higher rates, which means that individuals who already face the hurdles of systemic sexism and racism in institutions ranging from housing to medical care might soon have even more unjust and life-altering obstacles built into daily life.
Public De-anonymizing and Doxxing
Another serious risk a consumer-grade face recognition system poses is how it could amplify efforts to de-anonymize individuals and to dox people (an internet age technique of publishing someone’s personal information with the goal of generating harassment) who are engaged in potentially sensitive public activities.
We’ve already seen this play out in the realm of sex work. FindFace has been used to de-anonymize and stalk sex workers and adult film actresses. In 2019, a Chinese programmer claimed to have developed a custom face recognition program to identify and publicly catalog 100,000 women on adult websites explicitly to enable men to track whether their girlfriends appeared in adult films. After public outcry, the programmer reportedly shut down the program.
"danger" - Google News
June 10, 2021 at 08:49PM
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Danger Isn't Just from Government Abuse - Project On Government Oversight (POGO)
"danger" - Google News
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