This course examines the transformative field of generative artificial intelligence (GAI), offering an in-depth analysis of its development, diffusion, and far-reaching impacts on both economies and societies. Students will explore the fundamental concepts of GAI, including its current state and the various ways it is reshaping industries. The curriculum will provide a thorough examination of how GAI influences individuals, markets, and nations, with a particular focus on notable implementations such as ChatGPT and other large language models.
The course will also investigate the drivers and obstacles affecting the adoption of GAI, including critical issues related to governance, cybersecurity, and privacy. Through case studies, students will gain insights into successful GAI applications and their implications for policy and business strategies. This exploration will help students understand the factors that contribute to the broader adoption of GAI and how to navigate the challenges and opportunities it presents.
In addition to its technical aspects, the course will address the ethical, environmental, and labor-related challenges associated with GAI. By highlighting best practices and offering recommendations for effective implementation, the course aims to equip students with the knowledge to leverage GAI for organizational and individual benefit. This comprehensive approach makes the course an essential resource for students and researchers in fields such as business, economics, finance, management, innovation, and technology, as well as advisors and policymakers in sectors impacted by GAI.
Exam info and full course description can be found in the course catalogue.
Course specific:
To apply for the course you must either be enrolled in a bachelor's degree, have a bachelor's degree or have passed a qualifying entry examination.
General:
Exchange students: nomination from your home university
Freemovers: documentation for English Language proficiency
You can read more about admission here.
Nir Kshetri is currently a management professor at The University of North Carolina Grensboro. HE obtained his Ph.D in Buisness Administration from the University of Rhode Island. His main interests are artificial intelligence, Web 3, blockchain and how these are changing organizations, societies and economics.
