Description
Will advances in robotics, artificial intelligence, and machine learning put vast swaths of the labor force out of work or into fierce competition for the jobs that remain? Or, as in the past, will new jobs absorb workers displaced by automation? On this episode of the Yale Law Journal Podcast, co-hosts Cody Poplin and Emily Shire interview Professor Cynthia Estlund about her recently published Article, What Should We Do After Work? Automation and Employment Law, which tackles this topic head on. The Article argues that these questions have profound implications for the fortress of rights and benefits that has been constructed on the foundation of the employment relationship, and it charts a path for reforming that body of law in the face of justified anxiety and uncertainty about the future effect of automation on jobs.
In this episode, Vol. 131’s Editor-in-Chief, Rachel Sommers, and Executive Editor for Features & Book Reviews, Bapu Kotapati, speak with the Yale Law Journal’s inaugural Emerging Scholar of the Year: Professor Payvand Ahdout. The Emerging Scholar of the Year Award celebrates the achievements...
Published 11/23/22
The past decade has witnessed an explosion of data collection about individuals. U.S. law has traditionally approached data governance by focusing on individual privacy and contract adequacy. This approach, however, fails to grapple with the “relational” way that data is stored, analyzed, and...
Published 09/27/22