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Show Results For
- All HBS Web
(684)
- News (145)
- Research (421)
- Events (20)
- Multimedia (12)
- Faculty Publications (299)
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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
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).
- December 2022 (Revised June 2023)
- Case
Hacking the U.S. Election: Russia's Misinformation Campaign
By: Shikhar Ghosh
The case discusses the relatively low technology approach used by Russia to influence the U.S. Presidential Election in 2016. Although political parties manipulating the media was not a new phenomenon, the Russians ran a broad, well-financed, and sophisticated social... View Details
Keywords: Political Elections; International Relations; Social Media; Power and Influence; Information; Russia; United States
Ghosh, Shikhar. "Hacking the U.S. Election: Russia's Misinformation Campaign." Harvard Business School Case 823-043, December 2022. (Revised June 2023.)
- 19 Dec 2023
- Research & Ideas
The 10 Most Popular Articles of 2023
life that includes rest, relationships, and a rewarding career. Is AI Coming for Your Job?In a post-AI world, where an algorithm can draft marketing copy—or even pop songs and movie scripts—anything seems possible. Harvard Business School... View Details
Keywords: by Danielle Kost
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
predictions about the world. And now, even though generative AI feels very different from making a simple prediction, at a technical level, that's really what it is. In order to train these predictive systems, you need lots of example data input and output pairs. The... View Details
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- 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
Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
- 13 Jan 2023
- Research & Ideas
Are Companies Actually Greener—or Are They All Talk?
Most companies now account for social good in their financial reports in some way, but with regulation scattershot and evolving, it’s complicated for investors to assess so-called ESG reports. The disclosures, known as Environmental, Social, and Governance reports,... View Details
Keywords: by Rachel Layne
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
- July 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
- December 2016
- Article
Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud
By: Michael Luca and Georgios Zervas
Consumer reviews are now part of everyday decision making. Yet, the credibility of these reviews is fundamentally undermined when businesses commit review fraud, creating fake reviews for themselves or their competitors. We investigate the economic incentives to commit... View Details
Luca, Michael, and Georgios Zervas. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud." Management Science 62, no. 12 (December 2016): 3412–3427.
- 2015
- Working Paper
Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud
By: Michael Luca and Georgios Zervas
Consumer reviews are now part of everyday decision-making. Yet, the credibility of these reviews is fundamentally undermined when businesses commit review fraud, creating fake reviews for themselves or their competitors. We investigate the economic incentives to commit... View Details
Keywords: Information; Competition; Internet and the Web; Ethics; Reputation; Social and Collaborative Networks; Retail Industry; Food and Beverage Industry
Luca, Michael, and Georgios Zervas. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud." Working Paper. (May 2015. Revise and resubmit, Management Science.)
- 30 Nov 2010
- Working Paper Summaries
Sponsored Links’ or ’Advertisements’?: Measuring Labeling Alternatives in Internet Search Engines
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- July 2013 (Revised August 2017)
- Case
TaKaDu
By: Elie Ofek and Matthew Preble
In December 2012, Amir Peleg, founder and CEO of TaKaDu, reflected on how to position his young firm for the next fiscal year and beyond. The small Israeli startup had developed an innovative software system that used patented algorithms and statistical analysis to... View Details
Keywords: Innovation; Customer Selection; Business Marketing; High-tech Marketing; Enterprise Resource Planning; Water Resources; Water Management; Utilities; Product Positioning; Expansion; Resource Allocation; Applications and Software; Entrepreneurship; Business Startups; Business Strategy; Innovation and Invention; Growth and Development Strategy; Utilities Industry; Australia; Israel
- 18 Jan 2022
- Research & Ideas
How Eliminating Non-Competes Could Reshape Tech
Second, advanced software algorithms and data-based artificial intelligence algorithms account for increasing amounts of trade secrets in technology. These technologies rely on massive stores of distributed... View Details
- 19 Jan 2023
- Research & Ideas
What Makes Employees Trust (vs. Second-Guess) AI?
When an algorithm recommends ways to improve business outcomes, do employees trust it? Conventional wisdom suggests that understanding the inner workings of artificial intelligence (AI) can raise confidence in such programs. Yet, new... View Details
Keywords: by Rachel Layne
- 28 Nov 2018
- HBS Case
On Target: Rethinking the Retail Website
mistake of treating their online unit as a mere add-on to the store. Target, by contrast, spent much time focusing on how data could be used specifically to help build its web arm. And the retailer was careful to establish the value of data, analytics, and View Details
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
more akin to an Apple, a Tesla, or a Nest, or a GoPro—where it’s a consumer product that has the foundation of sexy hardware technology and sexy software technology,” he is quoted in a book published today, Competing in the Age of AI: Strategy and Leadership When View Details
Keywords: by Dina Gerdeman
- 10 Feb 2020
- In Practice
6 Ways That Emerging Technology Is Disrupting Business Strategy
Economic Research. 3. Algorithms are changing the pricing game “Firms are increasingly using pricing algorithms to set prices, especially in online markets. Pricing View Details
Keywords: by Danielle Kost