‘Automating Inequality’: Algorithms In Public Services Often Fail The Most Vulnerable
“Young’s story is one of three detailed pictures across the country that Eubanks draws to illustrate that automated systems used by the government to deliver public services often fall short for the very people who need it most: An effort to automate welfare eligibility in Indiana, a project to create an electronic registry of the homeless in Los Angeles, and an attempt to develop a risk model to predict child abuse in Allegheny County, Penn.”