Machine Learning and Automated Decision Making

Automated decision-making systems make decisions about our lives, and those with low socioeconomic status often bear the brunt of the harms these systems cause. Poverty Lawgorithms: A Poverty Lawyers Guide to Fighting Automated Decision-Making Harms on Low-Income Communities is a guide by Data & Society Faculty Fellow Michele Gilman to familiarize fellow poverty and civil legal services lawyers with the ins and outs of data-centric and automated-decision making systems so that they can clearly understand the sources of the problems their clients are facing and effectively advocate on their behalf.