![]() ![]() Vaithinathan’s team developed a predictive model using 132 variables–including length of time on public benefits, past involvement with the child welfare system, mother’s age, whether or not the child was born to a single parent, mental health, and correctional history–to rate the maltreatment risk of children in MSD’s historical data. ![]() 137 which is a risk model which calculates a risk score for unborn children. ![]() The use of machine learning can be a powerful tool for developing predictive analytics to One abuse which I found particularly troubling was cited on pg. ![]() This technology also serves to limit poor people’s lives and opportunities, creating what she refers to as a digital poorhouse. In this book, Eubanks highlights a few situations where technology has negatively affected people’s lives, primarily poor people. Books like Automating Inequality are good contributors to that discussion. I am glad that the conversation about social problems caused by technology is expanding. This review is the first of several book reviews I’ve been working on about books relating to the problems which are emerging from technology. I recently read Automating Inequality by Virginia Eubanks and would like to share some thoughts. ![]()
0 Comments
Leave a Reply. |