This paper provides an inventory of existing and proposed public policy strategies designed to mitigate the risks and maximize the benefits of data-driven technologies when applied in the workplace. The strategies are organized into five groups: notice and transparency, accountability, individual data rights, workplace rights, and government oversight and regulation.
Graduate Student Researcher
Emlyn Bottomley is a graduate of the Goldman School of Public Policy at UC Berkeley where he concentrated on issues at the intersection of technology and labor. For the past year and a half, he has worked on the Technology and Work team at the Labor Center focusing on policy responses to the collection of data and use of algorithms in the workplace. Emlyn is working with the Future of Work and Workers team, conducting research on technology and work.