Cary Coglianese

Papers

Total Citations

233

H-Index

About

Cary Coglianese is a leading scholar in administrative law and regulation, with a particular focus on how government can harness data and technology to improve decision-making. His work explores the intersection of law, policy, and emerging technologies, especially artificial intelligence and machine learning. In his highly influential paper “Regulating by Robot: Administrative Decision Making in the Machine-Learning Era” (2017, over 230 citations), Coglianese examines how machine-learning algorithms are reshaping government operations—from product marketing to medical imaging—and raises critical questions about transparency, accountability, and fairness in automated governance. He has made foundational contributions to the study of regulatory design, including work on performance-based regulation and the use of empirical evidence in rulemaking. As the Edward B. Shils Professor of Law and Political Science at the University of Pennsylvania, and founder of the Penn Program on Regulation, Coglianese has shaped how scholars and policymakers think about the future of regulation in a data-driven world. His research is essential reading for anyone interested in how law can adapt to the challenges of artificial intelligence and algorithmic decision-making.