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Show Results For
- All HBS Web
(687)
- News (195)
- Research (382)
- Events (6)
- Multimedia (9)
- Faculty Publications (245)
- 03 May 2023
- Research & Ideas
Why Confronting Racism in AI 'Creates a Better Future for All of Us'
During his recent standing-room-only seminar about artificial intelligence (AI) and race at Harvard Business School recently, marketing professor Broderick Turner displayed a... View Details
Keywords: by Barbara DeLollis
- 16 Dec 2022
- Research & Ideas
Why Technology Alone Can't Solve AI's Bias Problem
out to test, along with HBS research assistant Tom Sühr and Harvard computer science doctoral student Sophie Hilgard, in research published last year in the Proceedings of the AAAI/ACM Conference on View Details
- September 1997 (Revised May 1999)
- Case
Precision Controls, Inc.
By: James K. Sebenius and David T. Kotchen
Precision Controls is a Minnesota-based manufacturer of electronic control devices. To enhance its product line, Precision would like to establish an artificial intelligence research group, either through internal development or, preferably, by merging with or... View Details
Keywords: Information Technology; Valuation; Research and Development; Negotiation Process; Stock Shares; Negotiation Tactics; Mergers and Acquisitions; Manufacturing Industry; Electronics Industry; Minnesota
Sebenius, James K., and David T. Kotchen. "Precision Controls, Inc." Harvard Business School Case 898-046, September 1997. (Revised May 1999.)
- 2024
- Working Paper
Generative AI and the Nature of Work
By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
Recent advances in artificial intelligence (AI) technology demonstrate considerable potential to
complement human capital intensive activities. While an emerging literature documents wide-ranging productivity
effects of AI, relatively little attention has been paid... View Details
Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024.
- 11 Feb 2021
- HBS Seminar
Avi Goldfarb, University of Toronto Rotman School of Business
- 2024
- Working Paper
The Wade Test: Generative AI and CEO Communication
By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (AI) transform the role of the CEO by effectively automating CEO
communication? This study investigates whether AI can mimic a human CEO and whether employees’
perception of the communication’s source matter. In a field... View Details
Choudhury, Prithwiraj, Bart S. Vanneste, and Amirhossein Zohrehvand. "The Wade Test: Generative AI and CEO Communication." Harvard Business School Working Paper, No. 25-008, August 2024.
- March 2019 (Revised July 2021)
- Case
Waymo LLC
By: John R. Wells and Benjamin Weinstock
On December 5, 2018, Waymo LLC, a subsidiary of Alphabet Inc., launched the United States’ first commercial driverless-car ride-hailing service (Waymo One), based in Phoenix, Arizona. As with other ride-hailing services such as Uber and Lyft, Waymo One riders... View Details
Keywords: Vehicle; Automation; Automobiles; Automotive; Driverless Car; Automotive Industry; Autonomy; Google; Self-driving Cars; Technological And Scientific Innovation; Technological Change; Technology Change; Ride-sharing; Uber; Lyft; General Motors; Innovation; Disruptive Technology; Disruptive Technologies; Tesla; Waymo; Operating Systems; Artificial Intelligence; Autonomous Vehicles; Transportation; Technological Innovation; Disruption; Commercialization; Growth and Development Strategy; Transportation Industry; Auto Industry
Wells, John R., and Benjamin Weinstock. "Waymo LLC." Harvard Business School Case 719-477, March 2019. (Revised July 2021.)
- March 2024 (Revised August 2024)
- Case
Darktrace: Scaling Cybersecurity and AI (A)
By: Jeffrey F. Rayport and Alexis Lefort
In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details
Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States
Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (A)." Harvard Business School Case 824-092, March 2024. (Revised August 2024.)
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
World. The book’s authors, Harvard Business School Professors Marco Iansiti and Karim R. Lakhani, say Peloton is just one example of how digital technologies such as analytics and View Details
Keywords: by Dina Gerdeman
- March 2010
- Case
Federal Bureau of Investigation, 2007
By: Jan W. Rivkin, Michael Roberto and Ranjay Gulati
In the wake of the 9/11 terrorist attacks, Robert Mueller, the Director of the Federal Bureau of Investigation (FBI), sought to transform the storied Bureau. The FBI had long served as both the chief law enforcement agency and the main domestic intelligence wing of the... View Details
Keywords: Transformation; Organizational Structure; Organizational Change and Adaptation; Government Administration; National Security; Corporate Strategy; Knowledge Acquisition; Law Enforcement; Public Administration Industry; United States
Rivkin, Jan W., Michael Roberto, and Ranjay Gulati. "Federal Bureau of Investigation, 2007." Harvard Business School Case 710-451, March 2010.
- 2022
- Working Paper
The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details
Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry
Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." NBER Working Paper Series, No. 30639, December 2022.
- 2024
- Chapter
The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details
Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." Chap. 4 in The Economics of Artificial Intelligence: Health Care Challenges, edited by Ajay Agrawal, Joshua Gans, Avi Goldfarb, and Catherine E. Tucker, 107–138. Chicago and London: University of Chicago Press, 2024.
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- 01 Mar 2018
- What Do You Think?
Two Decades Later, is the 'New Economy' Finally Here?
the Great Recession. The New Economy proved to be vastly over-hyped. In light of continued advances in such things as artificial intelligence, the sharing of resources enabled by new information platforms, View Details
Keywords: by James Heskett
- 01 Mar 2024
- News
Alumni and Faculty Books and Podcasts
design and manufacture physical products, that type of fluid, data-rich information used to be a pipe dream. Now, with the rise of cheap and powerful sensors, supercomputing, View Details
- March 2024
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
- 2024
- Working Paper
Transforming the Federal Bureau of Investigation: Outcome and Process Framing
This twelve-year qualitative study examines how Director Robert Mueller and his senior team profoundly transformed the United States Federal Bureau of Investigation (FBI) after the 9/11 terrorist attacks. Drawing on 138 interviews within the FBI and Mueller’s... View Details
Keywords: Mission and Purpose; Transformation; Government and Politics; Organizational Change and Adaptation
Raffaelli, Ryan, Tiona Zuzul, Ranjay Gulati, and Jan Rivkin. "Transforming the Federal Bureau of Investigation: Outcome and Process Framing." Harvard Business School Working Paper, No. 16-084. (Revise and Resubmit.)
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
Keywords: AI and Machine Learning
Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- May 2022
- Case
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Stefani Ruper
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart... View Details
Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
- August 2022 (Revised January 2023)
- Case
Icario Health: AI to Drive Health Engagement
By: David C. Edelman
Icario Health has built a market-leading artificial intelligence (AI) engine to help health insurers drive better health behaviors for their members, enabling the insurers to improve their Medicare performance. View Details
Keywords: Marketing; Health Care and Treatment; AI and Machine Learning; Health Industry; United States
Edelman, David C. "Icario Health: AI to Drive Health Engagement." Harvard Business School Case 523-025, August 2022. (Revised January 2023.)