Contributor(s): Chris Gilson, Baobao Zhang | With the growth of the capability of artificial intelligence (AI), there is growing concern that this technology could make millions of jobs – and their workers – obsolete.
In the third episode of The Ballpark’s miniseries on AI and the US, the Phelan US Centre explored the impacts AI is already having on the workforce with Baobao Zhang, Maxwell Dean Associate Professor of the Politics of AI in the Political Science Department at the Maxwell School of Citizenship and Public Affairs at Syracuse University. Professor Zhang’s research and work focuses on trust in digital technology and the governance of artificial intelligence
The discussion covers how recent advances in AI have shifted the landscape when it comes to labor automation, the anxiety that many people are feeling about the potential for AI to affect jobs and industries through automation, and what students should be doing to best prepare for a career in workplaces that will be affected by AI in the coming decades.
This episode was produced by Chris Gilson and Luke Digweed.
 
Further reading and resources
 

Lee, Y.S, Soroushian, J., Bullock, J., Carroll, M., Dokko, J., Dominski, J., Hinds, R., Holzer, H., Horrigan, M., Munyikwa, Z., Oschinski, M., Radsch, C., Rock, D., Rossi, M., Seamans, R., Zhang, B. (2025). “Proactively Developing and Assisting the Workforce in the Age of AI.” Americans for Responsible Innovation and the Keough School of Global Affairs at the University of Notre Dame.


Zhang, Baobao and Dafoe, Allan, Artificial Intelligence: American Attitudes and Trends (January 9, 2019).


Zhang, B., Anderljung, M., Kahn, L., Dreksler, N., Horowitz, M.C. and Dafoe, A. (2021). Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers. Journal of Artificial Intelligence Research,


Baobao Zhang. 2022. No Rage Against the Machines: Threat of Automation Does Not Change Policy Preferences. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES '22). Association for Computing Machinery, New York, NY, USA, 856–866. https://doi.org/10.1145/3514094.3534179