#31 What they Don’t Teach You about AI in Business School

In this episode, I speak with Prof Wim Naudé. Wim is an economist active in academia, business and public policy making. His focus is on innovation, technology and trade, and their consequences for human well-being, security, and prosperity. According to the Stanford and Elsevier rankings (version 5) Wim is among the top 2% of scientists in the world. ScholarGPS ranks Wim amongst the top 0,05% of scientists in the world, and rates him as a Highly Ranked Scholar™ in the field of Artificial Intelligence (#32 globally).

We discuss Wim’s research on the economics of AI and how this is something that is seldom taught or researched at business schools. Business schools do well to teach their students advanced data science, including the techniques of modern AI and the ethical principles that should be applied in its use. This is however not enough. Wim suggests that understanding the bigger picture is necessary if current and future leaders are to properly govern, not only the technology of AI, but the entire global digital economy.

Further reading:

Naudé W, Gries T, Dimitri N. Artificial Intelligence: Economic Perspectives and Models. Cambridge University Press; 2024.

Wim’s IZA Discussion Paper on this topic: What They Don’t Teach You about Artificial Intelligence at Business School: Stagnation, Oil, and War