Generative AI
As the interest in generative AI (genAI) grows, there is an urgent need to understand its current capabilities, limits, and their implications for business. In this page you will find several resources coordinated by the Center for Intelligent Business to help business leaders navigate this exciting technology.
Research
Several faculty members at Tepper are involved in research at the intersection of genAI and business. Here are some recent examples:
- How Much Should We Trust LLM Results for Marketing Research? by Liying Qiu, Param Vir Singh, and Kannan Srinivasan (Jul, 2023)
- Bias in Generative AI by Mi Zhou, Vibhanshu Abhishek, Kannan Srinivasan (Aug, 2023)
GenAI Fellows
The 2023 Gen-AI Fellows
The CIB is supporting seven Tepper faculty to serve as the inaugural cohort of the CIB genAI fellows. The goal of this program (led by Laurence Ales) is to enhance our understanding of genAI applications in all functional areas of business and to make resources and research available to business leaders who engage with the center. The initial cohort is as follows (in parenthesis is their main area of focus):
- Laurence Ales (lead)
- Sean Ammirati (entrepreneurship)
- Emily DeJeu (business communications)
- Sunkee Lee (organizational behavior)
- Joy Lu (marketing)
- Ben Moseley (operations)
- Bryan Routledge (finance)
- Karan Singh (machine learning)
The CIB Guides to Generative AI
The fellows have prepared extensive reviews of the impact of genAI on business. You can find the reports here:
Webinar Recordings
- September 20, 2023: GenAI: Implications on Business and the Workforce
- October 25, 2023: Principles, Potential and Pitfalls of Generative AI
- November 13, 2023: Generative AI Tools for Workplace Communication: Suggestions for Effective and Ethical Use
For any questions don’t hesitate to contact Laurence Ales (ales@cmu.edu).