When we hear the phrase "disruptive technologies," we often think of tools upending the status quo - companies like Uber or Airbnb or innovations like artificial intelligence or driverless cars. However, the algorithms and software architecture that powers these innovations are already in use every day - often with devastating consequences.
Today, decision-making for of social service and safety net programs - everything from Medicaid to food stamps, housing and rental assistance to child welfare - is controlled not by human beings, but by models programed to follow a pre-determined set of criteria. Proponents argue this system is more efficient, saving caseworkers thousands of hours of paperwork. However, what if these automated systems are actually a form of discrimination, working to perpetuate, rather than eliminate, the inequality they aim to address?
Join us for a conversation with Virginia Eubanks, Ph.D., Associate Professor of Women's Studies at the University at Albany, SUNY, and author of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor, on how technology affects civil and human rights and economic equality.