Ford School of Public Policy: Should Complex, High-Stakes Government Decisions Be Reliant on Predictive Algorithms?
August 28, 2021
August 28, 2021
ANN ARBOR, Michigan, Aug. 28 (TNSJou) -- The University of Michigan's Ford School of Public Policy issued the following news:
Machine learning is increasingly used for government decision-making to predict adverse outcomes. For instance, many cities and states in the U.S. have adopted pretrial risk assessments that inform decisions about whether to release criminal defendants before trial. A central goal of adopting algorithms is to improve decision-making by providing governme . . .
Machine learning is increasingly used for government decision-making to predict adverse outcomes. For instance, many cities and states in the U.S. have adopted pretrial risk assessments that inform decisions about whether to release criminal defendants before trial. A central goal of adopting algorithms is to improve decision-making by providing governme . . .