All these wrongful arrests based on faulty Flock camera evidence is another illustration of the way people are making themselves dumber by outsourcing their thinking to machines.
In today’s troubling reality, law enforcement is wrongfully detaining individuals due to inaccurate data from AI-driven Flock surveillance systems, neglecting proper investigation of actual evidence related to crimes.
Reason Magazine highlights several cases in the article titled “She Spent 7 Months in Legal Hell After Cops Used Flock Surveillance To Identify the Wrong Car,” where innocent people faced severe legal consequences triggered by flawed Flock camera readings that could have been dismissed via basic verification techniques.
An excerpt reads:
“But Isaacs wasn’t involved in the crash, and officers had enough information at the time to exclude her as a suspect. Yet she still spent two weeks in jail and faced the threat of life behind bars for months because police didn’t use basic scrutiny to be sure their cameras implicated the right person.
“Much has been written about Flock cameras making mistakes — including cases in which innocent people were detained at gunpoint because a camera mistook a 2 for a 7, or misread the state on a license plate.
“But it’s worse than just imperfect software: All too often, police pull people over, arrest them, and even jail them based on camera misidentifications that officers could have caught with basic scrutiny. There are also numerous examples of officers with access to Flock’s database using it to stalk and surveil people in their personal lives.”
Reason also posted a police body cam video showing an officer confidently issuing a court summons to a woman accused of package theft, insisting to her and her husband that the evidence was “100 percent” conclusive due to Flock footage capturing the crime.
The officer declares, “We have cameras everywhere in that town; you can’t get a breath of fresh air in or out without us knowing,” adding, “It is her, it is 100 percent, it is locked in, there is zero doubt; I wouldn’t have come here unless I was 100 percent sure.”
Even more disturbing, Reason reports that the woman was acquitted only after providing “her cellphone tracking data, camera footage from her truck, and video placing her elsewhere at the time of the theft.” In essence, her defense against wrongful accusation based on faulty surveillance relied on additional surveillance sources.
The emergence of a surveillance state fostering a “guilty until proven innocent by better surveillance” mindset is deeply alarming and increasingly pervasive. This vast governmental monitoring intrudes into everyday life, devastating countless lives while benefiting only those in power, who remain ever watchful and fearful of popular demands for fairness.
These repeated false arrests grounded in erroneous Flock camera information exemplify how people are diminishing their own intellect by delegating judgment to machines. Instead of thinking critically, police depend on AI tools to make decisions for them.
The arrogant officer featured in the footage embodies this troubling dependence on artificial intelligence over human reasoning. His unwarranted certainty echoes the same dismissive tone encountered when people share chatbot screenshots claiming “Israel is guilty of genocide” is incorrect or “the US provoked the war in Ukraine.”
Many elevate AI to an unquestionable authority, assuming it delivers flawless truth, rather than applying their own critical thought as any rational person would. Today’s dystopia is turning everyone into dull-minded individuals overly confident in their own “correctness,” thanks to blind faith in AI.
Original article: caitlinjohnstone.com.au
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