Baobao Zhang’s NSF CAREER Award: Pioneering Research in Generative AI and Its Impact on the Workforce
Introduction to Baobao Zhang
Baobao Zhang, an associate professor of political science and the Maxwell Dean Associate Professor of the Politics of AI, has garnered significant recognition for her innovative research. Her recent achievement, a National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award, amounts to a remarkable $567,491. This funding supports her ambitious project titled “Future of Generative Artificial Intelligence for Current and Future Workers,” aiming to illuminate how generative AI is transforming workplace dynamics in America.
The Significance of the NSF CAREER Award
The NSF CAREER Award is one of the most prestigious honors available to early-career faculty. It serves not only as a recognition of outstanding research capabilities but also emphasizes the integration of education and scholarship. By receiving this award, Zhang is positioned to contribute significantly to our understanding of generative AI and its implications for workers, setting a precedent for future academic work in this fast-evolving field.
Zhang’s Research Focus
Zhang’s research will delve into the transformative effects of generative AI on American workplaces, exploring several critical dimensions. Her study will examine:
- Worker Productivity: How generative AI tools enhance or hinder productivity across different sectors.
- Job Satisfaction: The ways in which generative AI influences employee morale and satisfaction.
- Skill Development: Insights into how the introduction of AI technologies is reshaping the skills that workers need to succeed in an increasingly automated landscape.
This holistic approach positions her work at the intersection of technology, economics, and social dynamics.
Academic Background and Contributions
Zhang joined the faculty at Syracuse University’s Maxwell School in 2021. Since then, she has made significant strides in her research focus, particularly as a senior research associate with both the Autonomous Systems Policy Institute and the Campbell Public Affairs Institute. Her work investigates trust in digital technology, AI governance, and public perceptions of AI, highlighting the essential role of institutions in adapting to technological advancements.
Previous Recognitions and Publications
Prior to receiving the CAREER Award, Zhang was recognized for her contributions to AI governance through several prestigious fellowships. Notably, she was awarded the Public Voices Fellowship on Technology in the Public Interest for the 2023-24 cycle, as well as the Schmidt Futures AI2050 Early Career Fellowship in 2022. Her research has been published in esteemed journals, including the Proceedings of the National Academy of Sciences and Nature Human Behavior. Additionally, she co-edited The Oxford Handbook of AI Governance, reflecting her integral role in shaping conversations around AI policy and governance.
Impact on Education and Policy
The influence of Zhang’s work extends beyond academic circles. As Dean David M. Van Slyke notes, "Professor Zhang’s work on the governance of artificial intelligence exemplifies the Maxwell School’s strength in addressing timely, real-world issues.” By exploring the intricacies of AI’s integration into the workplace, Zhang is not only advancing academic research but also equipping future policymakers with the necessary tools to navigate an economy increasingly influenced by AI technologies.
Future Directions and Implications
With the support of the NSF CAREER Award, Zhang is poised to further her research in innovative ways that will influence both academia and practical policy. The outcomes of her project promise to provide critical insights into how generative AI will shape labor market trends, job roles, and the future viability of various careers. Stakeholders from industry, education, and government will likely benefit from her findings, ensuring that her research has far-reaching implications.
In a world rapidly adjusting to the presence of AI, Baobao Zhang’s work serves as a crucial resource for understanding and navigating this transformative landscape. The future of our workforce—and the policies that govern it—could be significantly informed by her insights and findings.

