Featured Courses
Spring 2022
MGA 60764/Econ 40410: Future of Labor
T, Th, 11:00 AM - 12:15 PM
Main Campus | O'Shaughnessy Hall | Room 116
Prof. Yong Suk Lee | 3171 Jenkins Nanovic Halls | yong.s.lee@nd.edu
The new wave of technologies, e.g., robotics and AI will have long-lasting impacts on the labor market. Jobs will be displaced, new tasks will be created, different skills will be demanded, and new management practices will emerge. These new technologies may benefit workers unevenly, potentially increasing inequality. At the same time, new demographic challenges driven by aging will have large impacts on labor. How will these forces affect the future of labor and how should we prepare for changes in the labor market?
The goal of this course is to provide students with a framework for analyzing how new technologies like robotics and AI will affect the labor market drawing largely from the economics literature. Students will analyze and describe the literature on these topics and understand the different methodologies used in the literature. Ultimately, students will build perspectives on how AI and robotics could affect jobs, occupations, the future of work, income distribution, and social institutions. Students will also build perspectives on education, training, and redistribution policies that can help mitigate the labor market disruptions created by technological change. Students will collect and analyze data that can provide insights into the future of labor.
KSGA 30411/ HSBR 30391 / STV 3011: Application, Ethics, and Governance of AI
M,W, 2:00 PM - 3:15 PM
Main Campus | Jenkins and Nanovic Hall | Room B062
Prof. Yong Suk Lee | 3171 Jenkins Nanovic Halls | yong.s.lee@nd.edu
The application of artificial intelligence is expanding rapidly and has the potential to reshape many fields, including transportation, finance, health care, marketing, social media, criminal justice, and public policy, just to name a few. AI’s ability to predict human preference and behavior or even substitute human judgment in these fields creates opportunities as well as concerns for safety, bias and discrimination, transparency, inequality, and job loss. Designed to serve students from no background in AI to those who have an existing technical background, this course surveys current and emerging applications of AI in different fields and the related ethical issues and governance problems.
The course targets students from different disciplines. Students from the humanities and social sciences will gain a deeper understanding of the technical aspects underpinning today’s ethical and policy debates related to AI. Students with more technical backgrounds will better appreciate the ethical issues that arise in programming and engineering and understand how technology interacts with the broader societal contexts.
The course’s goal is to encourage each student to become proactive in thinking of the societal implications of technological change and the potential roles one can play as a consumer, citizen, engineer, designer, and future business leader and policymaker.