Algorithmic Control: Automated Decisionmaking in America’s Cities
Governing bodies throughout the United States are turning to automated decision making systems in an attempt to make their operations more efficient, their services more equitable, and their economies more robust. These technologies, though, aren’t free from the biases and bad calculations that also plague human decision making, and they’ll need their own accountability measures and guarantees of transparency to protect the populace against institutionalizing poor choices.
MuckRock and the Rutgers Institute for Information Policy & Law (RIIPL) are collaborating on a new reporting and research project about local government use of big data, artificial intelligence, and algorithms.
According to Rutgers Law Professor Ellen P. Goodman, who will be partnering on the project, “Algorithms are playing an ever larger part in who goes to jail, who gets dibs on the best education, how we move through cities, and every other part of public life – we need to know more about them.”
Through interviews with leading experts and public records requests filed across the country, MuckRock Projects Editor/Senior Reporter Beryl Lipton will investigate city contracts, requests for proposals, and in-house development of these systems of governance to build an open, searchable database of how these technologies are in use.
We’ll be looking at the data going into these algorithms, the models they use, the outcomes they produce, and the policies dictating how these tools are being integrated into our current systems.
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Unwilling to wait for federal regulation to develop, municipal leaders from California to Massachusetts are pushing their own rules on the acquisition and use of facial recognition technology.
Palantir, a data mining startup based in Silicon Valley, will be handling initial delivery of the U.S. Army’s battlefield intelligence network, the Pentagon confirmed earlier this year, positioning the company to influence the Army’s long-term implementation of its artificial intelligence priorities.
Hundreds of agencies, including the FBI and ICE, have access to Ohio AG’s facial recognition platform
More than 4,500 individuals at federal and local law enforcement agencies currently have access to a facial recognition database hosted by the Ohio Attorney General’s office, including at the Federal Bureau of Investigation, Immigration and Customs Enforcement, and the National Aeronautics and Space Administration.