Algorithms are now used in making significant decisions, from credit determinations to hiring, but they are largely unregulated under U.S. law. In this seminar, Prof. Kaminski will identify three rationales behind calls for regulating algorithmic decision-making (dignitary, justificatory and instrumental), and will propose a two-pronged system of regulation combining individual rights and collaborative governance, based on the interplay between private and public partnership. Prof. Kaminski will analyse the EU’s General Data Protection Regulation (GDPR) as an example of such two-part system, and will discuss how these approaches both help and hinder each other.
Margot E. Kaminski (BA, Harvard University; JD, Yale Law School) is an Associate Professor of Law at Colorado Law and affiliate fellow of the Yale Information Society Project (Yale Law School), an intellectual center addressing the implications of new information technologies for law and society where she served as the executive director. She teaches, researches, and writes on law and technology. Her work has focused on privacy, speech, and online civil liberties, in addition to international intellectual property law and legal issues raised by AI and robotics, with a focus on domestic drones (UAS), and has been published in the UCLA Law Review, Minnesota Law Review, Boston Law Review, Washington Law Review and Southern California Law Review, among others. She received a 2018 Fulbright-Schuman Innovation Grant to study comparative and transatlantic approaches to sensor privacy (IoT, drones, robots) in the EU.
*The seminar is co-organized by the Jean Monnet Module Europe Regulates Robotics, and the LATT - Law, Artificial Intelligence, Technology & Trust Research Group.