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Lawsuit filed over 'everyday' racial profiling by Japan police - Vimarsana News

Lawsuit filed over 'everyday' racial profiling by Japan police

Racial profiling by police is an "everyday occurrence" in Japan, one of three foreign-born residents who sued the government over the issue on Monday said."This is an everyday occurrence," he said.

Source: yahoo.com
3 foreign-born residents sue over racial profiling by Japan police - Vimarsana News

3 foreign-born residents sue over racial profiling by Japan police

Three residents of Japan with foreign roots file a suit against the central and local governments over alleged racial profiling by police, seeking 3.3 million yen ($22,000) in damages per person.

The NYPD Pulled Over Yusef Salaam. Now Both Are Under Fire. - Vimarsana News

The NYPD Pulled Over Yusef Salaam. Now Both Are Under Fire.

Yusef Salaam, one of the Central Park Five, said the officer who stopped him should have explained why. Some officials said Mr. Salaam had used his position to avoid a ticket.

The Skanner News - Inequitable Algorithms: Facial Recognition's Alarming Pattern of Misidentifying Black Individuals Sparks Calls for Reform - Vimarsana News

The Skanner News - Inequitable Algorithms: Facial Recognition's Alarming Pattern of Misidentifying Black Individuals Sparks Calls for Reform

Recent research conducted by Scientific American online supported fears that facial recognition technology (FRT) can worsen racial inequities in policing. The research found that law enforcement agencies that use automated facial recognition disproportionately arrest Black people. The report’s authors stated that they believe these results from factors that include the “lack of Black faces in the algorithms’ training data sets, a belief that these programs are infallible and a tendency of officers’ own biases to magnify these issues.”

The Skanner News - Inequitable Algorithms: Facial Recognition's Alarming Pattern of Misidentifying Black Individuals Sparks Calls for Reform - Vimarsana News

The Skanner News - Inequitable Algorithms: Facial Recognition's Alarming Pattern of Misidentifying Black Individuals Sparks Calls for Reform

Recent research conducted by Scientific American online supported fears that facial recognition technology (FRT) can worsen racial inequities in policing. The research found that law enforcement agencies that use automated facial recognition disproportionately arrest Black people. The report’s authors stated that they believe these results from factors that include the “lack of Black faces in the algorithms’ training data sets, a belief that these programs are infallible and a tendency of officers’ own biases to magnify these issues.”