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← Page 47 of 1,540 Results →
  • January 2025
  • Technical Note

AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
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Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
  • November 1991 (Revised December 1996)
  • Case

Pressco, Inc.--1985

By: William E. Fruhan Jr.
A capital budgeting problem is viewed from the context of a marketing representative attempting to make a sale of energy saving heavy industrial equipment. Tax law changes promise to have a significant impact on the customer's decision process. Teaching purpose: To... View Details
Keywords: Capital Budgeting; Machinery and Machining; Valuation; Taxation; Customer Value and Value Chain; Cost vs Benefits; Inflation and Deflation; Cost Management; Product Marketing; North and Central America
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Fruhan, William E., Jr. "Pressco, Inc.--1985." Harvard Business School Case 292-085, November 1991. (Revised December 1996.)
  • March 2025
  • Case

Metaphysic AI: Rethinking the Value of Human Expertise

By: Zoë B. Cullen, Shikhar Ghosh and Shweta Bagai
In early 2025, Thomas Graham, CEO of Metaphysic, a leading AI generative video company confronted fundamental questions about who should control digital identity in a world where AI could perfectly recreate human likeness. Founded in 2021, Metaphysic first rose to fame... View Details
Keywords: Business Model; Ethics; AI and Machine Learning; Intellectual Property; Rights; Negotiation; Value; Motion Pictures and Video Industry; Motion Pictures and Video Industry
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Cullen, Zoë B., Shikhar Ghosh, and Shweta Bagai. "Metaphysic AI: Rethinking the Value of Human Expertise." Harvard Business School Case 825-146, March 2025.
  • November 1987 (Revised January 1988)
  • Case

Groen: A Dover Industries Company

By: Francis Aguilar
Describes the challenges facing the president of an old-line foodservice and food processing equipment manufacturing company as it attempted to accelerate sales and profit growth through the introduction of innovative products. The introduction of a "revolutionary"... View Details
Keywords: Business or Company Management; Corporate Entrepreneurship; Labor and Management Relations; Machinery and Machining; Management Style; Management Teams; Performance Efficiency; Technological Innovation; Product Development; Organizational Culture
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Aguilar, Francis. "Groen: A Dover Industries Company." Harvard Business School Case 388-055, November 1987. (Revised January 1988.)
  • February 2025
  • Case

K Health: Building an AI Physician Model

By: Iavor I. Bojinov, Karim R. Lakhani, Sarah Sasso and Carin-Isabel Knoop
Allon Bloch, CEO and cofounder of K Health, encountered a number of challenges and opportunities to navigate as the company prepared to launch its AI-driven healthcare platform in the U.S. in 2018. The case examines the potential of artificial intelligence to improve... View Details
Keywords: Health Care and Treatment; AI and Machine Learning; Product Launch; Business Strategy; Technology Industry; Health Industry; United States
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Bojinov, Iavor I., Karim R. Lakhani, Sarah Sasso, and Carin-Isabel Knoop. "K Health: Building an AI Physician Model." Harvard Business School Case 625-079, February 2025.
  • 2025
  • Working Paper

Is Love Blind? AI-Powered Trading with Emotional Dividends

By: De-Rong Kong and Daniel Rabetti
We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
Keywords: NFTs; Non-fungible Tokens; AI and Machine Learning; Valuation; Financial Markets
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Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.
  • April 2025 (Revised May 2025)
  • Case

Adobe: GenAI Opportunity or Threat?

By: Sunil Gupta, Rajiv Lal and Allison Ciechanover
In December 2022, Adobe CEO Shantanu Narayen faced a pivotal strategic decision due to the rapid rise of generative AI image models from OpenAI, Midjourney, and StabilityAI. Adobe, a leader in digital media and marketing software with a 40-year legacy of innovation and... View Details
Keywords: Customer Relationship Management; Ethics; AI and Machine Learning; Trust; Business Strategy; Technology Industry; San Jose
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Gupta, Sunil, Rajiv Lal, and Allison Ciechanover. "Adobe: GenAI Opportunity or Threat?" Harvard Business School Case 525-052, April 2025. (Revised May 2025.)
  • April 2023
  • Article

On the Privacy Risks of Algorithmic Recourse

By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Keywords: Recourse; Privacy Threats; AI and Machine Learning; Information
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Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
  • May 2022
  • Supplement

Borusan CAT: Monetizing Prediction in the Age of AI (B)

By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool.... View Details
Keywords: AI and Machine Learning; Commercialization; Technology Adoption; Industrial Products Industry; Turkey; Middle East
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Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (B)." Harvard Business School Supplement 522-045, May 2022.
  • January 2006 (Revised April 2007)
  • Case

General Electric Healthcare, 2006

By: Tarun Khanna and Elizabeth Raabe
In January 2006, Joe Hogan, head of General Electric (GE) Healthcare Technologies, prepared to step into William Castell's shoes as CEO of GE Healthcare, the world's leading manufacturer of diagnostic imaging equipment. In 2004, former CEO Jeff Immelt acquired Amersham... View Details
Keywords: Corporate Entrepreneurship; Cost vs Benefits; Growth and Development Strategy; Mergers and Acquisitions; Machinery and Machining; Global Range; Multinational Firms and Management; Product Design; Technological Innovation; Expansion; Value Creation; Business Subsidiaries; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry
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Khanna, Tarun, and Elizabeth Raabe. "General Electric Healthcare, 2006." Harvard Business School Case 706-478, January 2006. (Revised April 2007.)
  • March 2024
  • Exercise

'Storrowed': A Generative AI Exercise

By: Mitchell Weiss
"Storrowed" is an exercise to help participants raise their capacity and curiosity for generative AI. It focuses on generative AI for problem understanding and ideation, but can be adapted for use more broadly. Participants use generative AI tools to understand a... View Details
Keywords: AI and Machine Learning; Problems and Challenges
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Weiss, Mitchell. "'Storrowed': A Generative AI Exercise." Harvard Business School Exercise 824-188, March 2024.
  • July 2024 (Revised January 2025)
  • Case

Dynamic Pricing at Wendy's: Where's the Beef?

By: Elie Ofek, Alicia Dadlani and Martha Hostetter
In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details
Keywords: Dynamic Pricing; Marketing Strategy; Price; Technology Adoption; Consumer Behavior; AI and Machine Learning; Customer Focus and Relationships; Policy; Food and Beverage Industry
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Ofek, Elie, Alicia Dadlani, and Martha Hostetter. "Dynamic Pricing at Wendy's: Where's the Beef?" Harvard Business School Case 525-010, July 2024. (Revised January 2025.)
  • October 2023 (Revised January 2025)
  • Case

Sydney Loves Kevin

By: Ryan W. Buell and Himabindu Lakkaraju
Kevin Roose was a columnist and podcast host for the New York Times, who focused on technology and its effects on society. When Microsoft launched the latest version of its search engine Bing in February 2023, the company invited Roose to its Redmond campus to... View Details
Keywords: Newspapers; AI and Machine Learning; Technology Adoption; Technological Innovation; Perspective; Media and Broadcasting Industry; Media and Broadcasting Industry
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Buell, Ryan W., and Himabindu Lakkaraju. "Sydney Loves Kevin." Harvard Business School Case 624-039, October 2023. (Revised January 2025.)
  • July 2024
  • Case

The Voice Wars Continues 2024: Hey Google vs. Alexa vs. Siri vs. ChatGPT

By: David B. Yoffie and Sarah von Bargen
In 2024, the Voice War was transforming from a relatively simple index-based technology system, which relied on a list of commands and answers, to a generative AI system, which offered the promise to enable free flowing conversations between people and machines. The... View Details
Keywords: AI and Machine Learning; Competition; Technological Innovation; Technology Industry
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Yoffie, David B., and Sarah von Bargen. "The Voice Wars Continues 2024: Hey Google vs. Alexa vs. Siri vs. ChatGPT." Harvard Business School Case 725-352, July 2024.
  • 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... View Details
Keywords: AI; AI and Machine Learning; Governing and Advisory Boards; Ethics; Strategy; Technological Innovation; Leadership
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Ghosh, Shikhar, and Shweta Bagai. "OpenAI: Idealism Meets Capitalism." Harvard Business School Case 824-134, January 2024. (Revised February 2024.)
  • 2025
  • Article

Humor as a Window into Generative AI Bias

By: Roger Samure, Julian De Freitas and Stefano Puntoni
A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While... View Details
Keywords: AI and Machine Learning; Demographics; Prejudice and Bias
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Samure, Roger, Julian De Freitas, and Stefano Puntoni. "Humor as a Window into Generative AI Bias." Art. 1326. Scientific Reports 15 (2025).
  • 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
Keywords: AI and Machine Learning; Mathematical Methods
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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).
  • February 2024
  • Case

SundaySky: Changing Customer Experiences through Personalized Video

By: David C. Edelman and James Barnett
In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative... View Details
Keywords: Advertising; Strategy; Technology Adoption; AI and Machine Learning; Applications and Software; Growth and Development Strategy; Advertising Industry; Technology Industry; United States
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Edelman, David C., and James Barnett. "SundaySky: Changing Customer Experiences through Personalized Video." Harvard Business School Case 524-013, February 2024.
  • December 18, 2024
  • Article

Is AI the Right Tool to Solve That Problem?

By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne
While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details
Keywords: Artificial Intelligence; AI and Machine Learning; Problems and Challenges
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Cervini, Paolo, Chiara Farronato, Pushmeet Kohli, and Marshall W Van Alstyne. "Is AI the Right Tool to Solve That Problem?" Harvard Business Review (website) (December 18, 2024).
  • 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).
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