GenAI
The aim of the GenAI Initiative is to promote research and an open flow of ideas on how to safely and responsibly shape our future. Our focus will be on investigating the impact and responsible use of Generative AI in firms, their operations, industries, markets, and societies. We firmly believe that business leaders are responsible for transforming scientific discoveries and engineering innovations into practical products and services that improve the quality of human life and well-being.
Featured Research
Is AI the Right Tool to Solve That Problem?, by Paolo Cervini, Chiara Farronato, Pushmeet Kohli, and Marshall W. Van Alstyne, Harvard Business Review, December 2024
Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina, Yuan Gao, Gordon Burtch, Dokyun Lee, Sina Fazelpour, ARZIV, October 2024
Will That Marketplace Succeed?, Andrei Hagiu (with Julian Wright) Harvard Business Review 102(4), 94-103, July-August 2024
The impact of abortion restrictions on American mental health, Michael R. Anderson, Gordon Burtch, Brad N. Greenwood, Science Advances, 3, Jul 2024, Vol 10, Issue 27
Do digital technologies reduce racially biased reporting? Evidence from NYPD administrative data, Jeremy Watson, Gordon Burtch, Brad N. Greenwood, Proceedings of the National Academy of Sciences, June 3, 2024
Guided diverse concept miner (GDCM): Uncovering relevant constructs for managerial insights from text, Dokyun Lee, Zhaoqi Cheng, Chengfeng Mao, Emaad Manzoor, INFORMS, May 2024
The consequences of generative AI for online knowledge communities, Gordon Burtch, Dokyun Lee, Zhichen Chen, Scientific Reports, May 2024
Marketplace Leakage, Andrei Hagiu (with Julian Wright) Management Science 70(3), 1529-1553, March 2024
Generative AI, Human Creativity, and Art, Dokyun Lee Eric Zhou, Oxford Academic, PNAS Nexus, Volume 3, Issue 3, March 2024
Turn Generative AI from an Existential Threat into a Competitive Advantage, Andrei Hagiu (with Scott Cook and Julian Wright) Harvard Business Review 102(1), 118-125, January-February 2024
InnoVAE: Generative AI for Understanding Patents and Innovation, Dokyun Lee, Zhaoqi “ZQ” Cheng, Sonny Tambe, S&P Global Market Intelligence Paper Series, October 2023
The Consequences of Generative AI for UGC and Online Community Engagement, Gordon Burtch, Dokyun Lee, Zhichen Chen, July 2023
When Data Creates a Competitive Advantage (and When it Doesn’t)
Andrei Hagiu, Harvard Business Review, August 2021
Don’t let Platforms Commoditize Your Business, Andrei Hagiu Harvard Business Review, June 2021
An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets, Bapna, Sofia, Burtch Gordon, INFORMS, Vol. 24, No. 3, September 2013, pp. 499–519
Designing core-selecting payment rules: A computational search approach, Benedikt Bünz, Benjamin Lubin, Sven Seuken, December 2022
iMLCA: Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding, Manuel Beyeler, Gianluca Brero, Benjamin Lubin, Sven Seuken, 22nd ACM Conference on Economics and Computation, July 2021
