“Anxiety of Automation and Policy Preferences,” Baobao Zhang, Yale University

Event time: 
Friday, September 21, 2018 - 12:00pm through 1:15pm
Location: 
Institution for Social and Policy Studies (PROS77 ), A001
77 Prospect Street
New Haven, CT 06511
Speaker: 
Baobao Zhang, Ph.D. Candidate in Political Science, Yale University; Research Affliate, the Governance of AI Program, University of Oxford
Event description: 

ISPS EXPERIMENTS WORKSHOP

Abstract: Some experts in economics and computer science predict that advances in automation have the potential to replace large numbers of human workers in the upcoming decades. My survey experiment project examines how anxiety of automation shapes Americans’ policy preferences towards redistribution, immigration, and free trade. More specifically, I study whether information that highlight automation’s threat to American jobs in general versus its threat to the respondents’ own jobs produces a greater change in policy preferences. Furthermore, I test whether respondents whose jobs are more likely to be automated are more responsive to the information treatment. Initial analysis of the survey data suggests that presenting information about automation’s threat to human labor convinces them that automation indeed threatens American jobs. Nevertheless, the information treatments do not change respondents’ policy preferences and, in some cases, make them less likely to support redistribution.

Baobao Zhang is a PhD candidate in Yale University’s Political Science Department and a research affiliate with the Governance of AI Program at the University of Oxford. Her current research focuses on public opinion towards artificial intelligence and how the American welfare state could adapt to the increasing automation of labor. Her previous research covered a wide of range of topics including the politics of the U.S. welfare state, attitudes towards climate change, and survey methodology. Her papers have been published or are forthcoming in Political Analysis, Nature Climate Change, the Journal of Artificial Intelligence Research, and JAMA Surgery. Baobao’s research and graduate education have been funded by the National Science Foundation Graduate Research Fellowship and the Yale Institution for Social and Policy. She worked as a data scientist for the Yale Project for Climate Change Communication from 2015 to 2017. Baobao graduated from Yale College with a BA in political science in 2013 with distinction in the major; she received an MA in statistics from Yale University in 2015.

Open to: 
Yale Faculty, Yale Postdoctoral Trainees, Yale Graduate and Professional Students