Generative AI in Business

In this article, three business school academics at the University of Cambridge share how they are thinking about generative AI and incorporating it into their classes.

This article suggests a framework to understand whether GenAI represents a true paradigm shift. Author and UVA Darden faculty member Mike Lenox and Tom Schaumburg poses three key questions to help understand the impact of GenAI in business. The questions create a framework for business educators as well.

In this webinar, Professor Mitchell Weiss (Harvard Business School) describes using GenAI in case teaching and how students may use it for case prep.

In his Substack, Professor Ethan Mollick (University of Pennsylvania Wharton School of Business) translates academic research into usable information for the higher-education classroom. Many of his recent posts are about GenAI, and he’s written on a range of topics including creativity and boredom with GenAI.

This blog post by Jay Alammar explains how GPT3—a large language model used by ChatGPT—is trained and how it works.

Dr. Anton Korinek (UVA Darden Professor and David M. Rubenstein Fellow at the Brookings Institution) describes dozens of use cases for large language models (LLMs) along six domains in economics research: ideation and feedback, writing, background research, data analysis, coding, and mathematical derivations. The paper also describes the value of prompt engineering, emergent capabilities, and limitations. Korinek posits that researchers can significantly increase their productivity by incorporating LLMs into their workflow.