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Publications

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  • All HBS Web  (126)
    • Faculty Publications  (14)

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    • All HBS Web  (126)
      • Faculty Publications  (14)

      Data LabelingRemove Data Labeling →

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      • 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
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      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).
      • 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
      Keywords: AI and Machine Learning; Copyright; Information
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      Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
      • 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
      Keywords: Analytics and Data Science; Mathematical Methods
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      Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
      • 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
      Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
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      Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
      • 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
      Keywords: Artificial Intelligence; Data Labeling; Entrepreneurship; Strategy; Operations; Business Model; Growth Management; Growth and Development Strategy; AI and Machine Learning; Africa; Madagascar; Europe; France; United States
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      Lakhani, Karim R., Pippa Armerding, Gamze Yucaoglu, and Fares Khrais. "SmartOne: Building an AI Data Business." Harvard Business School Case 622-059, October 2021. (Revised September 2022.)
      • 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
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      Lakhani, Karim R., and Amy Klopfenstein. "VideaHealth: Building the AI Factory." Harvard Business School Case 621-021, March 2021.
      • 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
      Keywords: Data As A Service; Monetization; Pricing; Business Startups; Analytics and Data Science; Consumer Behavior; Analysis; Business Model; Health Pandemics; Information Industry; United States
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      Nanda, Ramana, Abhishek Nagaraj, and Allison Ciechanover. "SafeGraph: Selling Data as a Service." Harvard Business School Case 821-082, February 2021. (Revised May 2021.)
      • 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
      Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
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      Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
      • 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
      Keywords: Impact-Weighted Accounts; IWAI; Background; Economic Systems; Economy; Corporate Social Responsibility and Impact; Measurement and Metrics; Financial Statements
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      Serafeim, George, T. Robert Zochowski, and Jennifer Downing. "Impact-Weighted Financial Accounts: The Missing Piece for an Impact Economy." White Paper, Harvard Business School, Boston, MA, September 2019.
      • 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
      Keywords: Health Care and Treatment; Product Positioning; Business and Government Relations; Genetics; Competitive Strategy; Pharmaceutical Industry
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      Hamermesh, Richard G., Mara G. Aspinall, and Rachel Gordon. "Plavix: Drugs in the Age of Personalized Medicine." Harvard Business School Background Note 811-001, October 2010. (Revised November 2010.)
      • 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
      Keywords: Arts; Joint Ventures; Investment Return; Marketing Strategy; Product Launch; Product Development; Outcome or Result; Creativity; Music Industry
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      Elberse, Anita, and Elie Ofek. "Octone Records." Harvard Business School Case 507-082, June 2007. (Revised April 2016.)
      • 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
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      Jones, G., and Tarun Khanna. "Bringing History (Back) into International Business." Journal of International Business Studies 37, no. 4 (July 2006): 453–468.
      • 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
      Keywords: Risk and Uncertainty; Moral Sensibility; Safety; Government Administration; Cross-Cultural and Cross-Border Issues; Decision Choices and Conditions; Ethics; Announcements; Industrial Products Industry; Japan
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      Paine, Lynn S. "Manville Corporation Fiber Glass Group (C) (Abridged)." Harvard Business School Case 304-078, December 2003.
      • 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
      Keywords: Management Teams; Ethics; Conflict of Interests; Health; Safety; Cross-Cultural and Cross-Border Issues; Policy; Japan
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      Paine, Lynn S., and Sarah Gant. "Manville Corp. Fiber Glass Group (C)." Harvard Business School Case 394-116, February 1994. (Revised May 1999.)
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