Porcha Woodruff was getting her two children ready for school when police officers presented her with an arrest warrant alleging robbery and carjacking, court documents show.
Detroit woman sues city after being falsely arrested while pregnant due to facial recognition technology::A Detroit woman is suing the city and a police detective after she was falsely arrested because of facial recognition technology while she was eight months pregnant, according to court documents.
According to a recent review, 100% of the people falsely arrested via facial recognition findings have been black.
The technology needs to be legally banned from law enforcement applications, because law enforcement is not making a good faith effort to use the technology.
We should ban patrol automation software too. They utilize historical arrest data to help automatically create patrol routes. Guess which neighborhoods have a history of disproportionate policing.
The problems with the approaches that tend to get used should be the cause of absolute outrage. They’re ones that should get anyone laughed off of any college campus.
The problem is that they lend a semblance of scientific justification to confirm the biases of both police departments and many voters. Politicians look to statisticians and scientists to tell them why they’re right, not why they’re wrong.
That’s why it’s so important for these kinds of issues to make the front pages.
It’s great how statistics can be used to basically support anything the author wants them to. Identifying initial biases in the data is super important just as verifying the statistics independently.
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According to a recent review, 100% of the people falsely arrested via facial recognition findings have been black.
The technology needs to be legally banned from law enforcement applications, because law enforcement is not making a good faith effort to use the technology.
100% !?
I think that facial recognition software is a bit biased.
Developer, here. Working as intended.
*issue resolved
We should ban patrol automation software too. They utilize historical arrest data to help automatically create patrol routes. Guess which neighborhoods have a history of disproportionate policing.
The problems with the approaches that tend to get used should be the cause of absolute outrage. They’re ones that should get anyone laughed off of any college campus.
The problem is that they lend a semblance of scientific justification to confirm the biases of both police departments and many voters. Politicians look to statisticians and scientists to tell them why they’re right, not why they’re wrong.
That’s why it’s so important for these kinds of issues to make the front pages.
It’s great how statistics can be used to basically support anything the author wants them to. Identifying initial biases in the data is super important just as verifying the statistics independently.