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2023
Article

Post Hoc Explanations of Language Models Can Improve Language Models

By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju

Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details

Keywords: AI and Machine Learning; Performance Effectiveness

5 Feb 2013
Conference Presentation

Financing Entrepreneurial Growth

By: Tom Alberg, Andrew A. Bogan, Harold Bradley, Robert D. Cooter, Monika Gruter Cheney, Oliver R. Goodenough, William R. Hambrecht, Frank Hatheway, Thomas F. Hellmann, Marianne Hudson, Jared Konczal, Josh Lerner, Robert E. Litan, Diane Mulcahy, Ramana Nanda, Frank Partnoy, Joe Ratterman, Nava Ravikant, Jay R. Ritter, Alicia Robb, David T. Robinson, Allison Schrager, Barry Silbert, E. R. Sirri, Daniel Stangler and Sharon Vosmek

Despite recent innovations in entrepreneurial finance, particularly at the early stage of business creation, many new and young companies continue to face hurdles to acquire capital.

The Kauffman Foundation addressed current challenges and opportunities in... View Details

Keywords: Finance; Entrepreneurial Finance; Venture Capital; Entrepreneurship; United States

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2.1.2 Using ChatGPT & Artificial Intelligence (AI) Tools - MBA

Violations 2.7 Admissions Materials 2.8 MBA Community Values Annual Report (2023) 3. Financial Obligations 4. General Policies 5. Technology, Copyright, & Publishing Policies 6. Important Contact Information The University supports responsible View Details

2022
Article

Towards Robust Off-Policy Evaluation via Human Inputs

By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details

Keywords: Analytics and Data Science; Research

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Article

Work Group Rituals Enhance the Meaning of Work

By: Tami Kim, Ovul Sezer, Juliana Schroeder, Jane L. Risen, Francesca Gino and Michael I. Norton

The many benefits of finding meaning in work suggest the importance of identifying activities that increase job meaningfulness. The current paper identifies one such activity: engaging in rituals with workgroups. Five studies (N = 1,099) provide evidence that... View Details

Keywords: Groups; Meaningfulness; Task Meaning; Ritual; Teams; Organizational Citizenship; Groups and Teams; Behavior; Familiarity

2016
Chapter

Trade Associations, State Building, and the Sherman Act: The U.S. Chamber of Commerce, 1912–25

By: Laura Phillips Sawyer

From its founding in 1912 through the interwar years, the Chamber’s history shows a persistent preoccupation with progressive economics and policy making. Rather than flouting the new ideas of institutional economics, which favored federal regulators overseeing data... View Details

Keywords: Competition; Fairness; Supply and Industry; Policy; Business and Government Relations; United States

May 2018
Article

The Downside of Downtime: The Prevalence and Work Pacing Consequences of Idle Time at Work

By: Andrew Brodsky and Teresa M. Amabile

Although both media commentary and academic research have focused much attention on the dilemma of employees being too busy, this paper presents evidence of the opposite phenomenon, in which employees do not have enough work to fill their time and are left with hours... View Details

Keywords: Employees; Working Conditions; Performance Consistency; Performance Productivity

22 Jan 2013
HBS Seminar

Robert Meyer, Wharton, University of Pennsylvania

06 May 2010
Working Paper Summaries

Introductory Reading For Being a Leader and The Effective Exercise of Leadership: An Ontological Model

Keywords: by Werner Erhard, Michael C. Jensen, Steve Zaffron & Kari L. Granger; Education

Winter 2022
Article

Determinants of Small Business Reopening Decisions After COVID Restrictions Were Lifted

By: Dylan Balla-Elliott, Zoë B. Cullen, Edward L. Glaeser, Michael Luca and Christopher Stanton

The COVID-19 pandemic led to dramatic economic disruptions, including government-imposed restrictions that temporarily shuttered millions of American businesses. We use a nation-wide survey of thousands of small business owners to establish three main facts about... View Details

Keywords: COVID-19; Demand Forecasting; Reopening; Health Pandemics; Government Administration; Small Business

11 Jan 2021
Research & Ideas

Is A/B Testing Effective? Evidence from 35,000 Startups

Startups that use A/B testing scale more quickly, launch more products, and attract more venture capital, according to recent research. But not all startups enjoy these benefits. Early-stage startups using experimentation strategies... View Details

Keywords: by Kristen Senz

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Policies, Rules & Guidelines | About

for students to bring an attitude of openness and experimentation to their learning, and because our pedagogy often requires students to speak in class and take positions on topics not of their choosing, we are providing additional... View Details

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... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods