AI and Machine Learning - Publications - Faculty & Research - Harvard Business School

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February 2024 (Revised January 2025)
Case

AGENTS.inc: Pathways to Growth at an AI Startup

By: Frank Nagle, Manuel Hoffmann, Karoline Ströhlein and Susan Pinckney

The case describes the history of AGENTS.inc. Despite being a small startup, with only four employees, that had never had a funding round, the company boasted an impressive client portfolio including multiple Fortune 500 companies. While AGENTS.inc had been an early... 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

Keywords: Business Model; Business Startups; AI and Machine Learning; Technology Adoption; Product Launch; Market Entry and Exit; Negotiation Offer; Business and Government Relations; Health Industry; Technology Industry; United States; New York (state, US)

November 2023
Case

Riiid: Scaling AI Educational Services Globally

By: John Jong-Hyun Kim, Nancy Dai and Ruru Hoong

This article explores the definition and evolution of AI, its applications in education, and the role of AI, particularly in K-12 education. It discusses the founding of Riiid, an AI-driven educational technology company, and its journey in the education sector, with a... View Details

Keywords: AI and Machine Learning; Economic Sectors; Technological Innovation; Education Industry; South Korea; Asia

2020
Book

Work, Mate, Marry, Love: How Machines Shape Our Human Destiny

By: Debora L. Spar

Covering a time frame that ranges from 8000 BC to the present, and drawing upon both Marxist and feminist theories, the book argues that nearly all the decisions we make in our most intimate lives—whom to marry, how to have children, how to have sex, how to think about... View Details

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

September 2024
Exercise

Finding Your 'Jagged Frontier': A Generative AI Exercise

By: Mitchell Weiss

In 2023 a set of scholars set out to study the effect of artificial intelligence (AI) on the quality and productivity of knowledge workers—in this specific instance, management consultants. They wanted to know across a range of tasks in a workflow, which, if any, would... View Details

Keywords: AI and Machine Learning; Performance Productivity; Performance Evaluation; Consulting Industry

2021
Working Paper

First Law of Motion: Influencer Video Advertising on TikTok

By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang

This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging... View Details

Keywords: Influencer Advertising; Video Advertising; Computer Vision; Machine Learning; Advertising; Online Technology

2021
Chapter

Towards a Unified Framework for Fair and Stable Graph Representation Learning

By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik

As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details

Keywords: Graph Neural Networks; AI and Machine Learning; Prejudice and Bias

Web

Marketing AI Guidelines | About

Using AI Less expensive than commissioning custom illustrations and data visualizations. Easier to learn and faster than standard image editing... View Details

2022
Book

The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI

By: Paul Leonardi and Tsedal Neeley

The pressure to "be digital" has never been greater, but you can meet the challenge. The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive... View Details

Keywords: Digital; Artificial Intelligence; Big Data; Digital Transformation; Technological Innovation; Transformation; Learning; Competency and Skills

2024
Working Paper

Advancing Personalization: How to Experiment, Learn & Optimize

By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer

Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details

Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning

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

18 May 2018
News

From Just Another AI Pilot to Scaled Production: The Missing Links to Convert Ideas to Economic Value for Fortune 500 Companies

15 Nov 2018
News

Don’t Be Afraid of AI

Dubinsky: And we get example after example, I just used that one 'cause it's so visual, of ways in which there are things we cannot do today, or it's very dangerous for humans today, that if we had a machine... View Details

Keywords: Computer Systems Design and Related Services; Computer Systems Design and Related Services

8 Sep 2023
Conference Presentation

Chatbots and Mental Health: Insights into the Safety of Generative AI

By: Julian De Freitas, K. Uguralp, Z. Uguralp and Stefano Puntoni

Keywords: AI and Machine Learning; Well-being

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

July 2019
Teaching Note

Miroglio Fashion

By: Sunil Gupta

Teaching Note for HBS Nos. 519-053, 519-070, and 519-072. View Details

Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; Marketing; AI and Machine Learning; Apparel and Accessories Industry; Apparel and Accessories Industry

11 Apr 2023
Research & Ideas

Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide

industry lines as companies increasingly bring seemingly unrelated business lines together in unconventional ways. New research by Awada, Harvard Business School Professor Suraj Srinivasan, and doctoral student Paul J. Hamilton harnesses... View Details

Keywords: by Danielle Kost; Consumer Products; Real Estate; Financial Services; Retail

January 2025
Case

Hebbia: Redefining Productivity for Knowledge Workers Using AI

By: Suraj Srinivasan and Minoshka Narayan

In early 2025, George Sivulka, founder and CEO of Hebbia, reflected on the company’s rapid ascent as a pioneer in GenAI-powered productivity tools for knowledge workers. With its proprietary technology, Hebbia had redefined information retrieval and analysis and earned... View Details

Keywords: Transformation; Customer Relationship Management; AI and Machine Learning; Innovation and Management; Innovation Strategy; Service Delivery; Technological Innovation; Growth and Development Strategy; Competitive Strategy; Banking Industry; Financial Services Industry; Technology Industry; United States; New York (city, NY)

December 2023 (Revised August 2024)
Case

Monsters in the Machine? Tackling the Challenge of Responsible AI

By: Paul M. Healy and Debora L. Spar

In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details

Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China

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