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- All HBS Web
(1,227)
- People (1)
- News (246)
- Research (710)
- Events (17)
- Multimedia (9)
- Faculty Publications (595)
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Launching Tech Ventures | HBS Online
Enrollment Stories FAQs Start Anytime Key Concepts Master frameworks and tools to execute a high-quality, profitable business model Discover how to conduct experiments to determine your venture’s value proposition, go-to-market strategy,... View Details
- Web
C. Ludens Ringnes Sculpture Collection | About
2023 – 2025 This exhibition is made possible by the generosity of the artists and galleries, including Ai Weiwei (Lisson Gallery and neugerriemschneider) View Details
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- Winter 2021
- Editorial
Introduction
This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details
Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.
- 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).
- 25 Apr 2024
- News
Origin Stories
Subscribe on iTunes Subscribe on Spotify More Skydeck episodes Dan Morrell: Hi, this is Dan Morrell, host of Skydeck. Where we come from and how we were raised has a profound effect on who we become. The recipients of this year’s Alumni Achievement Award grew up... View Details
- Web
Information Technology | Harvard Business School
Information Technology AI Enhanced Learning: HBS IT and Faculty Collaborate on Research Navigator Bot Professor of Management Practice Joseph B. Fuller and HBS IT's... View Details
- 27 Sep 2021
- Blog Post
Working to Change the Food System
living in San Francisco working at a data science startup as a product manager. I have always gravitated toward technology and science throughout my life, and machine learning,... View Details
- Web
AASU50 - Alumni
50th Anniversary Keynote Speech, by Henry Louis Gates Jr. Can AI Combat Biases Against Women and People of Color? (Barry Libert presentation) Entrepreneurial Action & The Case for Optimism (Bill Sahlman... View Details
- Web
Invention of the Polarizer - Edwin H. Land & Polaroid | Harvard Business School
direction. He then learned that by coating a thin sheet of plastic with microscopic crystals, he could stretch and align the crystals before the material dried. This synthetic polarizing material could be... View Details
- 07 Aug 2013
- What Do You Think?
Is There Still a Role for Judgment in Decision-Making?
contradictory to sound judgment. It only emphasizes it . Judgment is an encapsulation of all those elements data, facts, processes, etc that go into decisions from which we have learned in the past." Joe Schmid said: "Our... View Details
Keywords: by James Heskett
- Web
Scaling Work - Research Computing Services
be run in parallel ....and are often used for Machine Learning types of'embarrassingly parallel' tasks (== a huge task can be broken down into many smaller ones that are completely independent of one... View Details
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
- 01 Dec 2022
- News
Action Plan: To the Letter
most of his career in travel and in private equity. In 2019, the private equity firm HGGC acquired Monotype for $825 million and recruited Chacko in 2021 to run it. At Monotype, he View Details
- 01 Jun 2023
- News
From Big Pharma to Startup
diagnosis and treatment with genomic sequencing and machine learning to solve antibiotic resistance Nix—develops biosensors that analyze... View Details
Keywords: April White
- March 16, 2021
- Article
From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles
By: Julian De Freitas, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony and Emilio Frazzoli
For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing
complex autonomous systems with ethically acceptable behavior. We... View Details
Keywords: Automated Driving; Public Health; Artificial Intelligence; Transportation; Health; Ethics; Policy; AI and Machine Learning
De Freitas, Julian, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony, and Emilio Frazzoli. "From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles." Proceedings of the National Academy of Sciences 118, no. 11 (March 16, 2021).
- 12 Sep 2023
- Blog Post
Harvard Climate Entrepreneurs Circle: Taking Climate Solutions from Idea to Action, Faster
ventures I was advising as the senior advisor for social entrepreneurship at the Harvard Innovation Labs. They said: “Hey, we’d like to learn more about that solution, and we think our colleagues might too.”... View Details
- Web
Disruptive Innovation Online Course | HBS Online
that are ready to apply. With every minute of learning, my company was better off and was setting a course for success. Andrzej Buks Vice President at Dakota Guardian Trust Assess opportunities and View Details
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 06 Jul 2020
- Research & Ideas
The Right Way to Manage Customer Churn for Maximum Profit
the example of an online retailer who suddenly sees a monthly shopper stop buying for two months. “Customers just stop using the service but don’t have to tell the company.” In order to manage churn, companies typically use machine View Details