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All HBS Web
(900)
- People (1)
- News (152)
- Research (546)
- Events (10)
- Multimedia (3)
- Faculty Publications (453)
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- 26 Sep 2024
- HBS Case
If a Car Can Drive Itself, Can It Make Life-or-Death Decisions?
What would Aristotle think about self-driving cars? As the abilities of artificial intelligence systems to automate complex tasks accelerate, warnings about the dangers of outsourcing life-and-death decisions to machines are pumping the...
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- January 2024 (Revised February 2024)
- Case
OpenAI: Idealism Meets Capitalism
By: Shikhar Ghosh and Shweta Bagai
In November 2023, the board of OpenAI, one of the most successful companies in the history of technology, decided to fire Sam Altman, its charismatic and influential CEO. Their decision shocked the corporate world and had people wondering why OpenAI had designed a...
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Keywords:
AI;
AI and Machine Learning;
Governing and Advisory Boards;
Ethics;
Strategy;
Technological Innovation;
Leadership
Ghosh, Shikhar, and Shweta Bagai. "OpenAI: Idealism Meets Capitalism." Harvard Business School Case 824-134, January 2024. (Revised February 2024.)
- 08 Feb 2016
- Research & Ideas
The Civic Benefits of Google Street View and Yelp
Naik’s images with household income levels for some 2,400 blocks, provided by the city online. “The incomes act as labels for the images, and then the machine learns the association between how the features...
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- 12 Jun 2018
- First Look
New Research and Ideas, June 12, 2018
period. Stock indexes can transform longstanding behavior via nonpecuniary channels. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=53030 Machine Learning and Human Capital:...
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Keywords:
Dina Gerdeman
- Article
Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting
By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial...
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Keywords:
Crowdsourcing;
AI Algorithms;
Health Care and Treatment;
Collaborative Innovation and Invention;
AI and Machine Learning
Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more...
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Keywords:
COVID-19 Pandemic;
Epidemics;
Analytics and Data Science;
Health Pandemics;
AI and Machine Learning;
Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- October 2023
- Case
Fixie and Conversational AI Sidekicks
By: Jeffrey J. Bussgang and Carin-Isabel Knoop
In March 2023, Fixie Co-Founder and Chief Architect Matt Welsh and co-founders had the kind of meeting no founders want to have. The president of leading artificial intelligence (AI) research and deployment firm OpenAI, which had catapulted into fame with its ChatGPT...
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Keywords:
Large Language Model;
Entrepreneurship;
Decision Choices and Conditions;
AI and Machine Learning;
Technological Innovation;
Competitive Strategy;
Technology Industry;
United States
Bussgang, Jeffrey J., and Carin-Isabel Knoop. "Fixie and Conversational AI Sidekicks." Harvard Business School Case 824-037, October 2023.
- July 2023
- Supplement
Honeycomb (B): Jumping on The Generative AI Bandwagon?
By: Jeffrey J. Bussgang and Kumba Sennaar
Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction?
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- 06 Aug 2018
- Research & Ideas
Supersmart Manufacturing Tools are Lowering Prices on TVs, Bulbs, and Solar Panels
apprentice? Probably, but it will take time and practice to learn all the tricks and perfect the art, making a lot of mistakes along the way. Yet there are machines that do produce all kinds of glass objects...
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- 16 Oct 2018
- First Look
New Research and Ideas, October 16, 2018
highlighted in Chapter 1. In this case, newly competitive technology of open platforms not only shaped individual organizations but changed the structure of the entire industry. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55092 Developing...
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Keywords:
Dina Gerdeman
- June 2024 (Revised June 2024)
- Case
Driving Scale with Otto
By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales...
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Keywords:
Artificial Intelligence;
Natural Language Processing;
B2B;
B2B Innovation;
Scaling;
Scaling Tech Ventures;
Business Startups;
AI and Machine Learning;
Finance;
Sales;
Business Strategy;
Growth and Development Strategy;
Entrepreneurship;
Information Technology Industry;
United States;
Cambridge;
New York (city, NY);
Spain
Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale with Otto." Harvard Business School Case 724-407, June 2024. (Revised June 2024.)
- June 2020
- Article
Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure
By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to...
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Keywords:
Environmental Sustainability;
Transportation;
Infrastructure;
Behavior;
AI and Machine Learning;
Demand and Consumers
Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
- September 2023 (Revised December 2023)
- Case
TetraScience: Noise and Signal
By: Thomas R. Eisenmann and Tom Quinn
In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from...
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Keywords:
Entrepreneurship;
Business Growth and Maturation;
Business Organization;
Restructuring;
Forecasting and Prediction;
Digital Platforms;
Analytics and Data Science;
AI and Machine Learning;
Organizational Structure;
Network Effects;
Competitive Strategy;
Biotechnology Industry;
Pharmaceutical Industry;
United States;
Boston
Eisenmann, Thomas R., and Tom Quinn. "TetraScience: Noise and Signal." Harvard Business School Case 824-024, September 2023. (Revised December 2023.)
- 15 May 2018
- First Look
New Research and Ideas, May 15, 2018
Purchase this case:https://cb.hbsp.harvard.edu/cbmp/product/618028 Harvard Business School Case 618-019 Improving Worker Safety in the Era of Machine Learning (A) Managers make predictions all the time: How...
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Keywords:
Dina Gerdeman
- 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...
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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.
- February 2022 (Revised November 2022)
- Case
Nuritas
By: Mitchell Weiss, Satish Tadikonda, Vincent Dessain and Emer Moloney
Nora Khaldi had built a technology “to unlock the power of nature” in the service of extending human lifespan and improving health, and now in April 2020 was debating telling her Board of Directors she wanted to put on ice some of her discoveries. Nuritas, the company...
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Keywords:
Cash Burn;
Cash Flow Analysis;
Pharmaceutical Companies;
Founder;
Artificial Intelligence;
AI;
Entrepreneurship;
Health Testing and Trials;
Health Care and Treatment;
Decision Making;
Market Entry and Exit;
AI and Machine Learning;
Pharmaceutical Industry
Weiss, Mitchell, Satish Tadikonda, Vincent Dessain, and Emer Moloney. "Nuritas." Harvard Business School Case 822-080, February 2022. (Revised November 2022.)
- February 6, 2024
- Article
Find the AI Approach That Fits the Problem You’re Trying to Solve
By: George Westerman, Sam Ransbotham and Chiara Farronato
AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical...
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Keywords:
AI and Machine Learning;
Organizational Change and Adaptation;
Technological Innovation;
Analytics and Data Science
Westerman, George, Sam Ransbotham, and Chiara Farronato. "Find the AI Approach That Fits the Problem You’re Trying to Solve." Harvard Business Review (website) (February 6, 2024).
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an...
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Keywords:
Analytics and Data Science;
AI and Machine Learning;
Decision Making;
Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- 08 Sep 2011
- What Do You Think?
What’s Apple’s Biggest Challenge: Replacing Steve or Wall Street?
Schultz. Wall Street demanded increasing growth, internationalization, better productivity, and new products. And Schultz's successors responded by opening up to five new stores per day; extending business to many new foreign markets; introducing a faster, higher...
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- 19 Nov 2001
- Research & Ideas
Alfred Chandler on the Electronic Century
technologies developed by the Sony Corporation. In this same astonishingly brief period, Japan's computer makers had become Europe's dominant suppliers of large computer systems and had captured the U.S. market in memory chips. International Business View Details