HomeFAIRWORK: Forecasting AI Risks and Impacts on the Workforce Margo Katherine Wilke Undergraduate Research Internship Program Spring 2026 Accepted Political Science The FAIRWORK project is an ongoing initiative to investigate the risks and impacts of how artificial intelligence (AI) is reshaping labor markets, job structures, and workforce policy. The core of the project includes a systematic review and extensive qualitative coding of more than a thousand academic studies. This project will report on the goal and role of AI in the labor market, ethical and societal considerations, structural job and institutional impacts, and policy and governance responses to AI. Future research will build on these findings and survey the perceptions, attitudes, and beliefs of key policymakers and stakeholders across sectors to further characterize and define the risks and impacts of AI on the workforce. Daniel Stuart Schiff Students will be responsible for conducting data collection, data analysis, and manuscript preparation activities. This includes assisting in the design and development of AI-assisted research methods to collect and screen data on AI’s impact on work, conducting qualitative coding on a large collection of academic records to deductively analyze research outcomes, and deriving research insights from methodological and analytic findings to contribute to public dissemination. Interdisciplinary skillsets are valued to synthesize findings and define appropriate forecasting measures across a wide range of policy, sociology, engineering, medical, economics, technology, and other literature. The outputs of this work will be made available in both online databases and academic venues such as journal papers and conference proceedings. Students will work with faculty, graduate, and undergraduate students at Purdue University and also have the opportunity to work with professors and students from Virginia Commonwealth University and National University of Singapore. https://www.cla.purdue.edu/academic/polsci/research/labs/grail/index.html Students must have a 3.0 GPA and be in good academic standing. Open to any major. Students must have the ability to work independently while maintaining communication with the research team and attending weekly, virtual meetings. 0 10 (estimated)