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Show Results For
- All HBS Web
(4,035)
- People (2)
- News (556)
- Research (2,855)
- Events (51)
- Multimedia (21)
- Faculty Publications (2,057)
- 2022
- Article
Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
Keywords: AI and Machine Learning
Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 23 Aug 2012
- Working Paper Summaries
Field Evidence on Individual Behavior & Performance in Rank-Order Tournaments
- 13 Aug 2018
- Blog Post
Following My Dream: Launching a Venture
Initially aiming to recruit 1-2 summer interns to support me in my endeavor, I ended up hiring an amazing and diverse team of six interns who are as excited about the idea as I am. Given my background in mechanical engineering, I was... View Details
Keywords: Entrepreneurship
- June 2008
- Article
Minimally Acceptable Altruism and the Ultimatum Game
By: Julio J. Rotemberg
I suppose that people react with anger when others show themselves not to be minimally altruistic. With heterogeneous agents, this can account for the experimental results of ultimatum and dictator games. Moreover, it can account for the surprisingly large fraction of... View Details
Rotemberg, Julio J. "Minimally Acceptable Altruism and the Ultimatum Game." Journal of Economic Behavior & Organization 66, nos. 3-4 (June 2008).
- 19 Aug 2013
- Research & Ideas
Studying How Income Inequality Shapes Behavior
avoid tumbling down any further. They call the behavior "last-place aversion." To test this theory in the lab, the pair teamed up with HBS Assistant Professor Ryan W. Buell and Stanford PhD student/candidate Taly Reich set up a... View Details
Keywords: by Michael Blanding
- 2010
- Working Paper
Overconfidence by Bayesian Rational Agents
This paper derives two mechanisms through which Bayesian-rational individuals with differing priors will tend to be relatively overconfident about their estimates and predictions, in the sense of overestimating the precision of these estimates. The intuition behind one... View Details
Van den Steen, Eric. "Overconfidence by Bayesian Rational Agents." Harvard Business School Working Paper, No. 11-049, November 2010.
- 02 Apr 2012
- Research & Ideas
Do Online Dating Platforms Help Those Who Need Them Most?
Over the past decade, socially-focused websites have attracted hundreds of millions of users and changed the social fabric in fundamental ways. The likes of eHarmony and... View Details
- December 18, 2024
- Article
Is AI the Right Tool to Solve That Problem?
By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne
While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details
Cervini, Paolo, Chiara Farronato, Pushmeet Kohli, and Marshall W Van Alstyne. "Is AI the Right Tool to Solve That Problem?" Harvard Business Review (website) (December 18, 2024).
- Article
Diverging Trends in Macro and Micro Volatility
By: Diego Comin and Sunil Mulani
This paper documents the diverging trends in volatility of the growth rate of sales at the aggregate and firm level. We establish that the upward trend in micro volatility is not simply driven by a compositional bias in the sample studied. We argue that this new fact... View Details
Comin, Diego, and Sunil Mulani. "Diverging Trends in Macro and Micro Volatility." Review of Economics and Statistics 88, no. 2 (May 2006).
- 19 Jun 2018
- First Look
New Research and Ideas, June 19, 2018
organizations as well as customer pressure from individual investors are critical in mitigating free-rider problems among asset managers and sustaining engagement practices. Finally, I explore the limits and anticompetitive concerns to the View Details
Keywords: Dina Gerdeman
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 2020
- Working Paper
Collusion in Brokered Markets
By: John William Hatfield, Scott Duke Kominers and Richard Lowery
The U.S. residential real estate agency market presents a puzzle for economic theory: commissions on real estate transactions have remained high for decades even though entry is frequent and costs are low. We model the real estate agency market, and other brokered... View Details
Keywords: Real Estate; ＂Repeated Games＂; Collusion; Antitrust; Brokered Markets; Game Theory; Real Estate Industry
Hatfield, John William, Scott Duke Kominers, and Richard Lowery. "Collusion in Brokered Markets." Harvard Business School Working Paper, No. 20-023, September 2019. (Revised July 2020.)
- January 2024
- Case
The Financial Times (FT) and Generative AI
By: Andrew Rashbass, Ramon Casadesus-Masanell and Jordan Mitchell
In September 2023, John Ridding, CEO of the Financial Times, was considering the possible impact of Generative AI on the industry and his business. Having navigated successfully the seismic shift from print to digital, and reporting record results, the company... View Details
Keywords: AI and Machine Learning; Technology Adoption; Change Management; Journalism and News Industry
Rashbass, Andrew, Ramon Casadesus-Masanell, and Jordan Mitchell. "The Financial Times (FT) and Generative AI." Harvard Business School Case 724-410, January 2024.
- July–August 2021
- Article
Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
- May 2012
- Article
Correlation in the Multiplayer Electronic Mail Game
By: Peter A. Coles and Ran Shorrer
In variants of the Electronic Mail Game (Rubinstein, 1989) where two or more players communicate via multiple channels, the multiple channels can facilitate collective action via redundancy, the sending of the same message along multiple paths or else repeatedly along... View Details
Keywords: Electronic Mail Game; Stag Hunt; Coordination; Signaling; Networks; Behavior; Communication; Trust; Game Theory
Coles, Peter A., and Ran Shorrer. "Correlation in the Multiplayer Electronic Mail Game." B.E. Journal of Theoretical Economics 12, no. 1 (May 2012).
- 15 Oct 2008
- Working Paper Summaries
The Artful Dodger: Answering the Wrong Question the Right Way
Keywords: by Todd Rogers & Michael I. Norton
- 01 Oct 2014
- Blog Post
A Summer Internship: Sparking Curiosity
self-discovery. I got a glimpse of how Danaher operated through the lens of Beckman Coulter, an operating company. I scratched the surface of the healthcare and diagnostics... View Details
- September 2024
- Exercise
Finding Your 'Jagged Frontier': A Generative AI Exercise
By: Mitchell Weiss
In 2023 a set of scholars set out to study the effect of artificial intelligence (AI) on the quality and productivity of knowledge workers—in this specific instance, management consultants. They wanted to know across a range of tasks in a workflow, which, if any, would... View Details
Keywords: AI and Machine Learning; Performance Productivity; Performance Evaluation; Consulting Industry
Weiss, Mitchell. "Finding Your 'Jagged Frontier': A Generative AI Exercise." Harvard Business School Exercise 825-070, September 2024.
- October 1991
- Supplement
Philips' Compact Disc Introduction (B)
Updates students to 1982. Asks students to consider Philips' best strategy for investing in disc-pressing capacity dedicated to the United States market. The analysis draws on game theoretic techniques (in normal form with subgame perfection as the governing... View Details
McGahan, Anita M. "Philips' Compact Disc Introduction (B)." Harvard Business School Supplement 792-036, October 1991.