I’m an Assistant Professor in the Department of Information Science at Cornell University.
My current research explores ethical and policy issues in artificial intelligence, particularly fairness in machine learning, methods for bringing accountability to automated decision-making, and the privacy implications of inference.
In 2014, I co-founded Fairness, Accountability, and Transparency in Machine Learning (FAT/ML), an annual event that brings together an emerging community of researchers working on these issues.
I was previously a Postdoctoral Researcher at Microsoft Research, where I worked with the Fairness, Accountability, Transparency, and Ethics in AI group, as well as a Postdoctoral Research Associate at the Center for Information Technology Policy at Princeton University.
I completed my doctorate in the Department of Media, Culture, and Communication at New York University, where I remain a Visiting Scholar at the Center for Urban Science + Progress and an affiliate of the Information Law Institute.