AI’s Effect on Innovation and Productivity
Lorin Hitt, Zhang Jindong Professor; Professor of Operations, Information and Decisions
Lynn Wu, Associate Professor of Operations, Information and Decisions
This research explores how AI facilitates innovation by documenting specific cases and mechanisms on when AI technologies should be used to innovate and when they should not, and their implications on demand for different types of labor and productivity.
Developing and Using an AI Negotiator
Maurice E. Schweitzer, Cecilia Yen Koo Professor; Professor of Operations, Information and Decisions
This project will support the development and use of an AI-powered chatbot platform for negotiations.
The Problems and Perils of Algorithms in Human Resources
Prasanna Tambe, Associate Professor of Operations, Information, and Decisions
This research project conducts an empirical exploration of the relative costs and benefits of using machine learning based tools on video job application data during the hiring process.
The Science of Deep Learning: Deep Reinforcement Learning
Etan A. Green, Assistant Professor of Operations, Information, and Decisions
This research project trains artificial intelligence to make optimal offers in negotiations on eBay.
An Automated Solution to Causal Inference in Discrete Settings
Dean Knox, Assistant Professor of Operations, Information, and Decisions
The goal of this project is to create a tool to automate causal inference from incomplete or imperfect data. This tool will reach a broad audience of applied researchers across the social and medical sciences by developing an easy-to-use front-end interface and implement more efficient back-end optimizations. In addition, the project will create a series of data applications to illustrate its ease of use.
Call for Proposals Due October 1, 2021
Wharton and Penn faculty are invited to submit proposals that demonstrate the need for financial support and infrastructure to enhance faculty research that showcase the applications of machine learning on the business and social implications of AI. We encourage faculty to work across the University in an interdisciplinary way to advance AI knowledge. If interested in submitting a proposal, please contact email@example.com.