May 4, 2018 | Durham, N.C./Duke Law School

Machine learning algorithms can deliver remarkable forecasting power and speed through their abilities to learn and adapt. Artificial intelligence (AI) is being employed in the private sector to optimize production processes, supply chain management, marketing, pricing, and other business functions. But apart from national security and law enforcement, productive uses in the public sector have received less attention, despite recognition that the administrative state’s foremost challenges include efficient processing of ever-increasing amounts of data, and adapting to new information over time. At the same time that AI may warrant regulation to prevent its risks, we also should consider the value of harnessing AI to assist in improving regulation and public services.

The Center for Innovation Policy at Duke Law, the Duke Center on Law & Technology, the Duke Initiative for Science & Society, and the Rethinking Regulation Program at The Kenan Institute for Ethics, held this joint conference, "AI in the Administrative State: Applications, Innovations, Transparency, Adaptivity," at Duke University to explore promising uses of AI and the challenges they pose in administering diverse governmental functions involving science, technology, health and intellectual property.

For information, contact innovationpolicy@law.duke.edu.

Agenda