As the interest in genAI grows, there is an urgent need to understand its current capabilities, limits, and their implications for business. The CIB wants to help business leaders navigate this exciting technology.
GenAI Fellows
The GenAI fellows conduct research to enhance the understanding of genAI applications in functional areas of business and make resources and research available to business leaders who engage with the center.
The 2024 genAI fellows will develop targeted research proposals to formulate and suggest methodologies for solving a business research problem facilitated by genAI, or study the management challenges or impact of genAI on businesses and the economy.
Projects include:
- explore techniques for using generative AI to enhance human decision making in contexts where groups need to balance optimal output with the need for diverse inputs.
- research ethical policies that should guide the development of companies’ benchmarks for safety and fairness.
- explore how generative AI tools can help optimize automated recommendations, ensuring they are better suited to users’ preferences.
Please reach out to Professor Bryan Routledge, who is leading this year's cohort: routledge@cmu.edu
2024 GenAI Fellows
Research
- Using Generative AI to Facilitate Data Analysis and Visualization: A Case Study of Olympic Athletes by Emily DeJeu (April 2024)
- 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)
Webinar Recordings
- GenAI: Implications on Business & the Workforce (September 20, 2023)
- How is AI Changing Healthcare? (October 11, 2023)
- Principles, Potential and Pitfalls of Generative AI (October 25, 2023)
- Generative AI Tools for Workplace Communication: Suggestions for Effective and Ethical Use (November 13, 2023)
- Use Cases of GenAI in Talent Recruitment and Sparking Creativity (February 13, 2024) - link coming soon!
- GenAI for Business Analytics (March 14 2024) - link coming soon!
- Unleashing Innovation: Harnessing the Power of Generative AI (May 15, 2024) - link coming soon!
- The Ethics of AI: Safety and Liability in Large Language Models (September 11, 2024) - link coming soon!