Frank Pasquale
Cornell Tech & Cornell Law School
Data Access & AI Explainability
Abstract
Several jurisdictions are now expanding their data protection laws in response to proliferating AI-driven evaluations of consumers, workers, borrowers, and internet users. As they digitize judgment, these evaluations risk imposing benefits and burdens in opaque and unaccountable ways via automated decision-making. Information access rights guaranteed via data protection law can assist those who have been treated unfairly—but only if they are clarified and enforced well. The key to doing so, Pasquale claims, is close attention to the practical consequences of data access and explainability.
About
Frank Pasquale is Professor of Law at Cornell Tech and Cornell Law School. He is an expert on the law of artificial intelligence (AI), algorithms, and machine learning. His books include The Black Box Society (Harvard University Press, 2015) and New Laws of Robotics (Harvard University Press, 2020). He has published more than 70 journal articles and book chapters on topics ranging from technology policy to health law. He co-edited The Oxford Handbook on the Ethics of Artificial Intelligence (Oxford University Press, 2020) and Transparent Data Mining for Big and Small Data (Springer-Verlag, 2017).
Before coming to Cornell, Pasquale held chaired professorships at the University of Maryland, Seton Hall University, and Brooklyn Law School. He has also served as a distinguished visiting faculty member at the University of Toronto Faculty of Law, visiting professor at Yale Law School, and visiting fellow at Princeton’s Center for Information Technology Policy. He clerked for Judge Kermit V. Lipez of the First Circuit Court of Appeals, and was an associate at Arnold & Porter in Washington, D.C.