Publications

SSRN

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? View Details

Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; AI and Machine Learning; Technology Industry; United States

20 Nov 2019
Research & Ideas

It's No Joke: AI Beats Humans at Making You Laugh

computer-based recommendation technology to help consumers make decisions. Yeomans' findings shed light on the hurdles that AI technology will need to overcome to win over wary consumers. The team enlisted 75 pairs of people, including... View Details

Keywords: by Dina Gerdeman

March 2025
Case

Building an AI Factory at Procter & Gamble

By: Iavor I Bojinov, Karim R. Lakhani and Alexis Lefort

Educators

October 2023
Teaching Note

Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

By: Tsedal Neeley and Tim Englehart

Teaching Note for HBS Case No. 422-085. 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... View Details

Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry

Article

Scaling Up Analogical Innovation with Crowds and AI

By: Aniket Kittur, Lisa Yu, Tom Hope, Joel Chan, Hila Lifshitz - Assaf, Karni Gilon, Felicia Ng, Robert Kraut and Dafna Shachaf

Analogy—the ability to find and apply deep structural patterns across domains—has been fundamental to human innovation in science and technology. Today there is a growing opportunity to accelerate innovation by moving analogy out of a single person’s mind and... View Details

Keywords: Innovation; Artificial Intelligence; Crowdsourcing; Analogy; Innovation and Invention; Technology; Science

September 2024
Case

Nvidia, Inc. in 2024 and the Future of AI

By: David B. Yoffie and Sarah von Bargen

Nvidia was one of the most successful companies in the world, reaching $3.4 trillion in valuation on June 18th, 2024. While Microsoft and Apple quickly recaptured the value crown, some analysts forecasted that Nvidia was so strongly positioned that it might become the... View Details

Keywords: Customer Value and Value Chain; Price; Technological Innovation; Competition; Vertical Integration; Valuation; Technology Industry

Educators

November 1988
Case

Du Pont's AI Task Force: The CTS Expert System

February 2025
Article

Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots

By: Julian De Freitas and I. Glenn Cohen

In the wake of recent advancements in generative AI, regulatory bodies are trying to keep pace. One key decision is whether to require app makers to disclose the use of generative AI-powered chatbots in their products. We suggest that some generative AI-based chatbots... View Details

Keywords: AI and Machine Learning; Governing Rules, Regulations, and Reforms; Applications and Software; Well-being

September 17, 2021
Article

AI Can Help Address Inequity—If Companies Earn Users' Trust

By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta

While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details

Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning

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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... View Details

Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning

22 Feb 2024
Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

Trustworthy AI Lab at the Digital Data Design Institute at Harvard. Neel shared insights on the nascent field that focuses on wiping the powerful technology’s virtual memory. “Increasingly, these models are trained on very large datasets... View Details

Keywords: by Rachel Layne; Technology; Information Technology

February 2025
Supplement

Intenseye: Powering Workplace Health and Safety with AI (B)

By: Michael W. Toffel, Shane Greenstein and Sadika El Hariri

Intenseye used its $25 million series A funds to refine and expand its digital safety platform while refining its target markets and ideal customer profile. As the company implemented new approaches to create value for its clients, such as developing an AI-powered... View Details

05 Nov 2024
Research & Ideas

AI Can Help Leaders Communicate, But Can't Make Employees Listen

and mistakes and abbreviations the CEO uses,” Choudhury says. “What that tells us, generally, is that at least technologically, we can create a writing bot for any one of us.” Illustrations by Ariana Cohen-Halberstam using images generated in Midjourney Generative... View Details

Keywords: by Ben Rand; Information Technology; Technology

June 20, 2023
Article

Cautious Adoption of AI Can Create Positive Company Culture

By: Joseph Pacelli and Jonas Heese

Keywords: AI and Machine Learning; Organizational Culture; Employees

February 2022
Teaching Note

Borusan CAT: Monetizing Prediction in the Age of AI

By: Navid Mojir

Teaching Note for HBS Case No. 521-053. View Details

Keywords: Monetization Strategy; Artificial Intelligence; Forecasting and Prediction; Applications and Software; Technological Innovation; Marketing; Segmentation; AI and Machine Learning; Construction Industry; Turkey

25 May 2021
Research & Ideas

White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?

Indeed, Zhang’s research found that prior to launching the algorithm in 2015, Airbnb’s white hosts made $12.16 more per day than Black hosts, according to the study, Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in... View Details

Keywords: by Lane Lambert; Technology; Accommodations

13 Nov 2019
Research & Ideas

Don't Turn Your Marketing Function Over to AI Just Yet

Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This device would collect data to answer strategic questions, guide managerial decisions, and... View Details

Keywords: by Kristen Senz

January 2025
Teaching Note

Nvidia, Inc. in 2024 and the Future of AI

By: David B. Yoffie

Teaching Note for HBS Case No. 725-360. View Details