Solon Barocas is Assistant Professor in the Department of Information Science at Cornell University. His 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.
He is part of the leadership team for the Digital Life Initiative at Cornell Tech and the Initiative of Artificial Intelligence, Policy, and Practice, which spans both Cornell and Cornell Tech.
In 2014, he co-founded Fairness, Accountability, and Transparency in Machine Learning (FAT/ML), an annual workshop that brings together an emerging community of researchers working on these issues. In 2018, he and a number of colleagues established the ACM Conference on Fairness, Accountability, and Transparency (FAT*), with the goal of reaching a broader audience across and outside computer science.
Solon was previously a Postdoctoral Researcher at Microsoft Research, where he 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. He completed his doctorate at New York University.
He currently serves on the New York City Automated Decision Systems Task Force.