Use of AI in 'predictive policing' has raised concerns over reinforcing racial and sexual bias. FMTNews SurveillanceCamera
A surveillance camera is attached to a light pole along Boylston Street in Boston in 2014.
The issue came to the forefront recently with the wrongful arrest in Detroit of an African American man based on a flawed algorithm which identified him as a robbery suspect. “What is different in this moment is we have explainability and people are really beginning to realise the way these algorithms are used for decision-making,” said Nkonde, a fellow at Stanford University’s Digital Society Lab and the Berkman-Klein Center at Harvard.
“There are systems that are accurate, so we need to have more testing and transparency,” Castro said. “This makes it very difficult to identify under what conditions the dataset was collected, what qualities these images had, how the algorithm was trained,” Gurses said.The use of artificial intelligence in “predictive policing”, which is growing in many cities, has also raised concerns over reinforcing bias.
So-called risk assessment algorithms were designed to help judges and others in the system make unbiased recommendations on who is sent to jail, or released on bond or parole.
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