San Francisco may grow to be the primary US metropolis to ban police from utilizing facial recognition tech
- San Francisco could possibly be the primary US metropolis to ban the usage of facial recognition expertise by police.
- If accepted, the laws would introduce an approval course of for metropolis departments that wish to use the controversial expertise.
- Companies and federal companies would not be affected by the proposed laws.
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San Francisco is on monitor to grow to be the primary US metropolis to ban the usage of facial recognition by police and different metropolis companies because the expertise creeps more and more into day by day life.
The San Francisco Board of Supervisors is scheduled to vote Tuesday on broad surveillance laws that features the ban.
Facial recognition expertise will not be new and has been used to run headshots via databases searching for suspects and to forestall identification fraud.
However current advances in synthetic intelligence have created extra refined pc imaginative and prescient instruments that make it simpler for police to pinpoint a lacking little one or a protester in a crowd.
Supporters of a ban say the expertise poses a extreme menace to civil rights. Opponents of a ban say police want instruments to catch criminals.
“Good policing doesn’t imply dwelling in a police state,” Supervisor Aaron Peskin stated at a listening to final week, in keeping with The Seattle Occasions. “Dwelling in a protected and safe neighborhood doesn’t imply dwelling in a surveillance state.”
The San Francisco Police Division contributed amendments to the proposed laws.
“We welcome safeguards to guard [civil] rights whereas balancing the wants that defend the residents, guests and companies of San Francisco,” David Stevenson, spokesman for the San Francisco Police Division, informed The Mercury New in Might.
The SFPD says it would not use facial recognition expertise.
(Reporting by Matt O’Brien.)
SEE ALSO: Microsoft president calls for presidency regulation of facial-recognition expertise to ‘make sure that the yr 2024 doesn’t appear to be a web page from the novel 1984’
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