Publications
Publications
Show Results For
-
All HBS Web
(126)
- Faculty Publications (16)
Page 1 of
16
Results
- 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
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is...
View Details
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates...
View Details
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15...
View Details
- October 2021 (Revised September 2022)
- Case
SmartOne: Building an AI Data Business
By: Karim R. Lakhani, Pippa Armerding, Gamze Yucaoglu and Fares Khrais
The case opens in August 2021, as Habib and Shahysta Hassim, husband and wife co-founders of the data labeling company SmartOne, contemplate the strategy of the high growth company. Between 2016 and 2021, SmartOne had kept doubling its size every two years and now,...
View Details
- March 2021
- Case
VideaHealth: Building the AI Factory
By: Karim R. Lakhani and Amy Klopfenstein
Florian Hillen, co-founder and CEO of VideaHealth, a startup that used artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. A process for quickly building and iterating on new...
View Details
Keywords:
Artificial Intelligence;
Innovation and Invention;
Disruptive Innovation;
Technological Innovation;
Information Technology;
Applications and Software;
Technology Adoption;
Digital Platforms;
Entrepreneurship;
AI and Machine Learning;
Technology Industry;
Medical Devices and Supplies Industry;
North and Central America;
United States;
Massachusetts;
Cambridge
- February 2021 (Revised May 2021)
- Case
SafeGraph: Selling Data as a Service
By: Ramana Nanda, Abhishek Nagaraj and Allison Ciechanover
Set in January 2021, the CEO of SafeGraph, a four-year-old startup that sold Data as a Service, looked to the future. His aim was to become the most trusted source for data about a physical place. The company provided points of interest (POI) and foot traffic data on...
View Details
- October 2020
- Article
Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance
By: Diwas S. KC, Bradley R. Staats, Maryam Kouchaki and Francesca Gino
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload individuals can decrease their service time, up to a point, in order to complete work...
View Details
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving...
View Details
- 2019
- White Paper
Impact-Weighted Financial Accounts: The Missing Piece for an Impact Economy
By: George Serafeim, T. Robert Zochowski and Jennifer Downing
Reimagining capitalism is an imperative. We need to create a more inclusive and sustainable form of capitalism that works for every person and the planet. Massive environmental damage, growing income and wealth disparity, stress, and depression within developed...
View Details
- 2017
- Working Paper
Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance
By: Diwas S. KC, Bradley R. Staats, Maryam Kouchaki and Francesca Gino
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload, individuals can increase their service time, up to a point, to complete work more...
View Details
- October 2010 (Revised November 2010)
- Background Note
Plavix: Drugs in the Age of Personalized Medicine
By: Richard G. Hamermesh, Mara G. Aspinall and Rachel Gordon
PIavix, one of the world's best selling drugs in 2010, appears to have a limited future. Its patent was due to expire soon, and recently new data had been discovered that indicated that a small subset of the population would be at risk for stroke, heart attack, or even...
View Details
- June 2007 (Revised April 2016)
- Case
Octone Records
By: Anita Elberse and Elie Ofek
In February 2007, Octone Records founders James Diener, Ben Berkman, and David Boxenbaum had been highly successful with the first two bands they had signed, Maroon 5 and Flyleaf. Known for its grassroots marketing campaigns, Octone operated through a unique...
View Details
- July 2006
- Article
Bringing History (Back) into International Business
By: G. Jones and Tarun Khanna
We argue that the field of international business should evolve its rhetoric from the relatively uncontroversial idea that 'history matters' to exploring how it matters. We discuss four conceptual channels through which history matters, illustrating each with a major...
View Details
- December 2003
- Case
Manville Corporation Fiber Glass Group (C) (Abridged)
By: Lynn S. Paine
Manville Corp.'s senior managers are surprised when Japanese government officials advise them not to go forward with their plan to add a cancer warning label to diatomaceous earth (DE) products sold in Japan. The International Agency for Research on Cancer has ruled...
View Details
- February 1994 (Revised May 1999)
- Case
Manville Corp. Fiber Glass Group (C)
By: Lynn S. Paine and Sarah Gant
Manville Corp.'s senior managers are surprised when Japanese government officials advise them not to go forward with their plan to add a cancer warning label to diatomaceous earth (DE) products sold in Japan. The International Agency for Research on Cancer has ruled...
View Details