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- 2023
- Working Paper
Incentivizing Innovation in Open Source: Evidence from the GitHub Sponsors Program
By: Annamaria Conti, Vansh Gupta, Jorge Guzman and Maria P. Roche
Open source is key to innovation, but we know little about how to incentivize
it. In this paper, we examine the impact of a program providing monetary
incentives to motivate innovators to contribute to open source. The Sponsors
program was introduced by GitHub in...
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- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Himabindu Lakkaraju and Ruijiang Gao
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research...
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- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
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- July 2023
- Article
Marketplace Scalability and Strategic Use of Platform Investment
By: Jin Li, Gary Pisano, Richard Xu and Feng Zhu
The scalability of a marketplace depends on the operations of the marketplace platform as well as its sellers’ capacities. In this study, we explore one strategy that a marketplace platform can use to enhance its scalability: providing an ancillary service to sellers....
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- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means...
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- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected...
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- March, 2023
- Article
Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes
By: Maria P. Roche
The transfer of complex knowledge and skills is difficult, often requiring intensive interaction and extensive periods of co-working between a mentor and mentee, which is particularly true in apprenticeship-like settings and on-the-job training. This paper studies a...
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- March 2023
- Article
Attracting the Sharks: Corporate Innovation and Securities Class Action Lawsuits
By: Elisabeth Kempf and Oliver Spalt
This paper provides novel evidence suggesting that securities class action lawsuits, a central pillar of the U.S. litigation and corporate governance system, can constitute an obstacle to valuable corporate innovation. We first establish that valuable innovation output...
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- January 2023
- Case
First to Fight? Culture, Tradition and the United States Marine Corps (USMC)
By: Ranjay Gulati, Akhil Iyer and Joel Malkin
Over a history of more than 240 years, the United States Marine Corps has forged a distinct culture and institutional identity centered on its “warrior ethos.” In the wars of American history, Marines fought with uncommon valor, rising to international prominence for...
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- October 25, 2022
- Article
Why Sharing Economic Growth with the Community Is Good Business
By: José A. Tiburcio, Lino Miguel Dias and Robert S. Kaplan
Subsistence dairy ranchers in Central America struggle to stay afloat during the dry season when grass is scarce. Global life sciences company Bayer has launched a program to enable them to produce their own corn silage feed. The results of this program are helping to...
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- 2022
- Working Paper
Training, Communications Patterns, and Spillovers Inside Organizations
By: Miguel Espinosa and Christopher T. Stanton
We study direct productivity changes and spillovers after a randomized training program for the frontline workers in a Colombian government agency. While trained workers improved their individual production, we also find substantial spillovers that affected managers'...
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- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two...
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Keywords:
AI and Machine Learning
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a...
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- Other Article
Sustainable Strategies and Net-Zero Goals
By: Mark L. Frigo, Robert S. Kaplan and Karthik Ramanna
In a recent Harvard Business Review article, Kaplan and Ramanna describe a rigorous approach, the E-liability method, for companies’ ESG reporting, especially as it pertains to GHG emissions measurements. They argue that the current standards for measuring...
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- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how...
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- January 2022
- Background Note
Common Prosperity? China Shifts Left
By: William C. Kirby and Noah B. Truwit
Since the founding of the People’s Republic of China in 1949, the ruling Chinese Communist Party (CCP) has been mistrustful of entrepreneurs and the private sector that operates outside the government’s authority. In its first decades under Mao Zedong, the CCP...
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Keywords:
Market Reform;
Gdp;
Government Administration;
Government and Politics;
Private Sector;
Governing Rules, Regulations, and Reforms;
Economy;
Globalized Economies and Regions;
Entrepreneurship;
Business and Government Relations;
Globalized Markets and Industries;
Social Issues;
Society;
Economic Growth;
China
- 2022
- White Paper
Building from the Bottom Up: What Business Can Do to Strengthen the Bottom Line by Investing in Front-line Workers
By: Joseph B. Fuller and Manjari Raman
A significant number of American workers—44%—are employed in low wage jobs at the front line of industries. Despite undertaking some of the most tedious, dirtiest, and most dangerous jobs, low-wage workers are—and have long been—the most likely to be overlooked by...
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- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by...
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- August 2021 (Revised February 2023)
- Case
Fair Park Covid-19 Mass Vaccination Site (A)
By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair...
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- August 2021 (Revised February 2023)
- Supplement
Fair Park Covid-19 Mass Vaccination Site (B)
By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair...
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