Faculty Fellow Michele Gilman explains how the use of AI in welfare fraud detection often ends up harming the most vulnerable. Read on The Conversation

The Algorithmic Accountability Act is a step forward, but there's still room for improvement. Postdoctoral Scholar Andrew Selbst and Margot Kaminski explain. "The bill is a meaningful first step in addressing the problems ... Read on The New York Times

As AI becomes integrated into different facets of our lives, Data & Society Researcher Kadija Ferryman joins Robert A. Winn in considering what this means for the field of health. "How can we bring together the excitement ... Read on The Cancer Letter

In this op-ed, Data & Society fellow Seeta Peña Gangadharan addresses the question "Can Crime Be Ethically Predicted?" and argues that bias is inherent in the technical systems used in predictive policing leading to "fundam... Read on New York Times