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- 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
De Freitas, Julian, and I. Glenn Cohen. "Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots." New England Journal of Medicine AI 2, no. 2 (February 2025).
- January 2025
- Case
Duolingo: On a "Streak"
By: Jeffrey F. Rayport, Nicole Tempest Keller and Nicole Luo
In December 2024, Severin Hacker, Co-Founder and Chief Technology Officer of Duolingo, reflected on the remarkable evolution of the language-learning app he helped launch in 2011. As the #1 most downloaded education app in the world, Duolingo had over 100 million... View Details
- January 2025
- Teaching Note
AGENTS.inc: Pathways to Growth at an AI Startup
By: Frank Nagle and Susan Pinckney
In 2024, AI agent startup company AGENTS.inc faced multiple strategic decisions that could shape the company’s ability to grown into the future AI agent market leader. View Details
- January 2025
- Case
Summer Health: Raising an AI-First Company?
By: Jeffrey J. Bussgang, Sarah Mehta and Maxim Pike Harrell
In October 2023, Summer Health CEO Ellen DaSilva arrived at a defining juncture for her pediatric telehealth startup. Founded in 2021, Summer Health offered parents rapid access to licensed pediatricians via text message. DaSilva, an experienced telehealth executive,... View Details
Keywords: AI and Machine Learning; Technology Adoption; Entrepreneurship; Leadership; Health Industry; Telecommunications Industry; United States
Bussgang, Jeffrey J., Sarah Mehta, and Maxim Pike Harrell. "Summer Health: Raising an AI-First Company?" Harvard Business School Case 825-083, January 2025.
- 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
- January 2025
- Case
Intuition Robotics: An AI Companion for Older Adults
By: Amit Goldenberg, Elie Ofek and Orna Dan
Intuition Robotics, a startup that makes an AI companion robot to alleviate older adults’ loneliness, debates whether to pursue a B2C model or B2G route. If it opts for the government vertical, it must determine how to negotiate a favorable deal. Two weeks after... View Details
- 2025
- Working Paper
Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI
By: Rebecca Karp
Existing literature often separates research on the design of innovations from their implementation and use, neglecting the role of selection—how organizations choose which innovations to implement. Although scholars suggest scientific approaches for selecting novel... View Details
Keywords: Decision Choices and Conditions; Technology Adoption; Groups and Teams; Prejudice and Bias
Karp, Rebecca. "Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI." Harvard Business School Working Paper, No. 25-034, January 2025.
- Working Paper
AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance
By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang
Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details
Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry
Exner, Yannick, Jochen Hartmann, Oded Netzer, and Shunyuan Zhang. "AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance." SSRN Working Paper Series, No. 5096969.
- January 2025
- Case
Ontra: Embracing GenAI in the Legal Technology Industry
By: Christopher Stanton and George Gonzalez
Ontra seeks to transform from a legal services provider to an AI software company. View Details
Stanton, Christopher, and George Gonzalez. "Ontra: Embracing GenAI in the Legal Technology Industry." Harvard Business School Case 825-076, January 2025.
- January 2025
- Case
The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (A)
By: Tsedal Neeley, Levi Stroud, Ruth Page and Dave Habeeb
Pre-abstract:
This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the (B) Case videos available to students, as they may reveal key case details.
Abstract:
Florian Hillen, co-founder and CEO of... View Details
Keywords: AI; Adoption; Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Disruptive Innovation; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States
Neeley, Tsedal, Levi Stroud, Ruth Page, and Dave Habeeb. "The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (A)." Harvard Business School Multimedia/Video Case 425-720, January 2025.
- January 2025
- Supplement
The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (B)
By: Tsedal Neeley, Levi Stroud, Ruth Page and Dave Habeeb
Pre-abstract:
This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the (B) Case videos available to students, as they may reveal key case details.
Abstract:
Florian Hillen, co-founder and CEO of... View Details
Keywords: AI; Adoption; Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Disruptive Innovation; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States
Neeley, Tsedal, Levi Stroud, Ruth Page, and Dave Habeeb. "The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (B)." Harvard Business School Multimedia/Video Supplement 425-721, January 2025.
- 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
Samure, Roger, Julian De Freitas, and Stefano Puntoni. "Humor as a Window into Generative AI Bias." Art. 1326. Scientific Reports 15 (2025).
- January 2025
- Article
Reducing Prejudice with Counter-stereotypical AI
By: Erik Hermann, Julian De Freitas and Stefano Puntoni
Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
Hermann, Erik, Julian De Freitas, and Stefano Puntoni. "Reducing Prejudice with Counter-stereotypical AI." Consumer Psychology Review 8, no. 1 (January 2025): 75–86.
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- January–February 2025
- Article
Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing
By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
- January–February 2025
- Article
Why People Resist Embracing AI
The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
De Freitas, Julian. "Why People Resist Embracing AI." Harvard Business Review 103, no. 1 (January–February 2025): 52–56.
- 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
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).
- December 2024 (Revised January 2025)
- Technical Note
A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)
By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney
A note on the vocabulary, evolution, and impact of AI. View Details
Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry
Greenstein, Shane, Nathaniel Lovin, Scott Wallsten, Kerry Herman, and Susan Pinckney. "A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)." Harvard Business School Technical Note 625-039, December 2024. (Revised January 2025.)
- December 2024
- Case
Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey
By: Shikhar Ghosh
In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
Keywords: AI; Machine Learning; Blue Cross; Automation; Digital Strategy; Digital Transformation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Leadership; Organizational Transformations; Technology; Non-profit; Michigan; AI and Machine Learning; Health; Health Industry; Michigan