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

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August 2018 (Revised October 2020)
Case

Tailor Brands: Artificial Intelligence-Driven Branding

Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details

September 2018 (Revised December 2019)
Case

Zebra Medical Vision

By: Shane Greenstein and Sarah Gulick

An Israeli startup founded in 2014, Zebra Medical Vision developed algorithms that produced diagnoses from X-rays, mammograms, and CT-scans. The algorithms used deep learning and digitized radiology scans to create software that could assist doctors in making... View Details

April 2022
Article

AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care

By: Ariel Dora Stern, Avi Goldfarb, Timo Minssen and W. Nicholson Price II

Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those... View Details

Keywords: Artificial Intelligence; Medicine; Health Care and Treatment; Legal Liability; Insurance; Technology Adoption; AI and Machine Learning

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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

Forthcoming
Article

Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment

By: Shunyuan Zhang and Das Narayandas

We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details

Keywords: AI and Machine Learning; Customer Focus and Relationships; Performance Efficiency

March 2019
Case

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli and David Lane

DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details

September 2014
Article

Advancing Consumer Neuroscience

By: Ale Smidts, Ming Hsu, Alan G. Sanfey, Maarten A. S. Boksem, Richard B. Ebstein, Scott A. Huettel, Joe W. Kable, Uma R. Karmarkar, Shinobu Kitayama, Brian Knutson, Israel Liberzon, Terry Lohrenz, Mirre Stallen and Carolyn Yoon

In the first decade of consumer neuroscience, strong progress has been made in understanding how neuroscience can inform consumer decision making. Here, we sketch the development of this discipline and compare it to that of the adjacent field of neuroeconomics. We... View Details

Keywords: Consumer Neuroscience; Neuroeconomics; Social Neuroscience; Genes; Machine Learning; Meta-analysis; Consumer Behavior; Decision Making; Science

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September 22, 2020
Article

Amazon's AI Is Learning New Rules to Win for the Holidays: With Stressed Supply Chains and Changing Consumer Behaviors, the Holidays Are Likely to Accelerate Amazon's Advantage

By: Jeffrey F. Rayport and Niall Murphy

2025
Working Paper

The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling

By: Caleb Kwon, Antonio Moreno and Ananth Raman

Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details

Keywords: AI and Machine Learning; Employees; Performance Effectiveness

February 6, 2024
Article

Find the AI Approach That Fits the Problem You’re Trying to Solve

By: George Westerman, Sam Ransbotham and Chiara Farronato

AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical... View Details

Keywords: Technology Adoption; AI and Machine Learning; Organizational Change and Adaptation; Technological Innovation; Analytics and Data Science

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Teaching Interest

Overview

Teaching has been a lifelong passion of mine. As the third generation of academics in my family, I see good teaching as a means to give back and to encourage others to share my passion for discovery. I’ve been very lucky to have many teaching opportunities, both as an... View Details

Article

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca

The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details

Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics

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Research Summary

Overview

By: Prithwiraj Choudhury

Prithwiraj (Raj) Choudhury is the Lumry Family Associate Professor at the Harvard Business School. He was an Assistant Professor at Wharton prior to joining Harvard. His research is focused on studying the Future of Work, especially the changing Geography of Work. In... View Details

Keywords: Geography; Mobility; Migration; Multinational; Productivity; Crucible Experiences; Machine Learning; Geographic Location; Technology Industry; India; United States; China

November 2024 (Revised January 2025)
Case

MiDAS: Automating Unemployment Benefits

By: Shikhar Ghosh and Shweta Bagai

In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details

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

October 2021 (Revised June 2022)
Case

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli

PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details

February 2024
Case

ReSpo.Vision: The Kickstart of an AI Sports Revolution

By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson

This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an... View Details

Keywords: Business Startups; Business Plan; Experience and Expertise; Talent and Talent Management; Decisions; Decision Choices and Conditions; Forecasting and Prediction; Entrepreneurship; Venture Capital; AI and Machine Learning; Analytics and Data Science; Applications and Software; Business Strategy; Sports Industry; Technology Industry; Poland; Europe

28 Mar 2017
Working Paper Summaries

CEO Behavior and Firm Performance

Keywords: by Oriana Bandiera, Stephen Hansen, Andrea Pratt, and Raffaella Sadun

22 Nov 2023
Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

Consulting Group employees work with AI: Humans are still needed to make that call. To operationalize AI successfully, managers must carefully select its applications, train workers in using it properly, and... View Details

Keywords: by Rachel Layne; Information Technology; Technology

2024
Working Paper

Climate Solutions, Transition Risk, and Stock Returns

By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim

Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details

Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets

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