In January 2020, Robert Williams was wrongly arrested — the victim of a faulty artificial intelligence (AI) facial recognition system. Even as he fought to clear his name, the system continued operating.
Facial recognition could analyse a blown-up still taken from a security tape, sift through a database of millions of driver licence photos, and identify the person who did the crime.
Months later, the facial recognition system used by Detroit police combed through its database of millions of driver licences to identify the criminal in the grainy security tapes.
By January 2020, as Mr Williams had his mug shot taken in the Detroit detention centre, civil liberties groups knew that black people were being falsely accused due to this technology.
It would give law enforcement and security agencies quick access to up to 100 million facial images from databases around Australia, including driver licences and passport photos.
That didn’t stop the then government from ploughing ahead with its planned national facial recognition system, says Edward Santow, an expert on responsible AI at the University of Technology Sydney, and the Australian Human Rights Commissioner at the time.
Despite this, last month Senate estimates heard the federal police tested a second commercial one-to-many face matching service, Pim Eyes, earlier this year.
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This is the best summary I could come up with:
Facial recognition could analyse a blown-up still taken from a security tape, sift through a database of millions of driver licence photos, and identify the person who did the crime.
Months later, the facial recognition system used by Detroit police combed through its database of millions of driver licences to identify the criminal in the grainy security tapes.
By January 2020, as Mr Williams had his mug shot taken in the Detroit detention centre, civil liberties groups knew that black people were being falsely accused due to this technology.
It would give law enforcement and security agencies quick access to up to 100 million facial images from databases around Australia, including driver licences and passport photos.
That didn’t stop the then government from ploughing ahead with its planned national facial recognition system, says Edward Santow, an expert on responsible AI at the University of Technology Sydney, and the Australian Human Rights Commissioner at the time.
Despite this, last month Senate estimates heard the federal police tested a second commercial one-to-many face matching service, Pim Eyes, earlier this year.
The original article contains 1,870 words, the summary contains 162 words. Saved 91%. I’m a bot and I’m open source!