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

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2022
Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju

As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods

November 2023 (Revised April 2024)
Case

Khanmigo: Revolutionizing Learning with GenAI

By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean

Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details

Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco

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... View Details

Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States

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... View Details

Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States

May 2025
Teaching Note

The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation

By: Tsedal Neeley

Teaching Note for HBS Case No. 425-720. Florian Hillen, co-founder and CEO of VideaHealth, a startup using artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. This AI factory,... View Details

Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technological Innovation; Technology Adoption; Disruptive Innovation; Management Style; Organizational Culture; Success; Adoption; Technology Industry; Health Industry; United States

September 2023 (Revised January 2024)
Case

AI21 Labs in 2023: Strategy for Generative AI

By: David Yoffie, Orna Dan and Elena Corsi

Israeli generative artificial intelligence company AI21 Labs was founded in 2017 to realize the vision of true machine intelligence. It sought to reinvent writing and reading and in 2020 it launched Wordtune, an app using GenAI software to offer alternate text... View Details

Keywords: Decision Making; AI and Machine Learning; Innovation Strategy; Growth and Development Strategy; Applications and Software; Competitive Strategy; Technology Industry; Israel

2025
Working Paper

The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani

We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company.... View Details

Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment; AI and Machine Learning; Groups and Teams; Competency and Skills; Performance Productivity; Collaborative Innovation and Invention; Product Development

Research Summary

Overview

By: Himabindu Lakkaraju

I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:

1. How to build... View Details

Keywords: Artificial Intelligence; Machine Learning; Decision Analysis; Decision Support

22 Feb 2024
Research & Ideas

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

There’s a virtual elephant in AI’s room: It’s nearly impossible to make the technology forget. And there are an increasing number of scenarios where consumers and programmers may not only want to remove data... View Details

Keywords: by Rachel Layne; Technology; Information Technology

April 2017
Case

The Future of Patent Examination at the USPTO

By: Prithwiraj Choudhury, Tarun Khanna and Sarah Mehta

The U.S. Patent and Trademark Office (USPTO) is the federal government agency responsible for evaluating and granting patents and trademarks. In 2015, the USPTO employed approximately 8,000 patent examiners who granted nearly 300,000 patents to inventors. As of April... View Details

Keywords: Machine Learning; Telework; Collaborating With Unions; Human Resources; Recruitment; Retention; Intellectual Property; Copyright; Patents; Trademarks; Knowledge Sharing; Technology Adoption; Organizational Change and Adaptation; Performance Productivity; Performance Improvement; District of Columbia

March 2019
Teaching Note

Numenta: Inventing and (or) Commercializing AI

By: David B. Yoffie

This teaching notes accompanies the Numenta case, HBS No. 716-469. The focus is how to scale a new artificial intelligence technology, how to build a platform and overcome chicken-or-the-egg problems, and how to utilize open source software and licensing. View Details

Keywords: Artificial Intelligence; Strategy; Information Technology; Technological Innovation; Commercialization; AI and Machine Learning

September 2023 (Revised April 2024)
Case

Atomwise: Strategic Opportunities in AI for Pharma

By: Satish Tadikonda

Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details

Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry

June 2024
Case

Aidoc: Building a Hospital-Centric AI Platform

By: Ariel D. Stern and Susan Pinckney

In 2023, Israel-based AI health care company Aidoc evaluated its future. The company, founded in 2016, had grown from commercializing a single AI product for radiologists to a software platform that could detect 20 conditions and immediately notify care teams of... View Details

14 Aug 2017
Conference Presentation

A Convex Framework for Fair Regression

By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth

We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details

Keywords: Regression Models; Machine Learning; Fairness; Framework; Mathematical Methods

December 1, 2021
Article

Do You Know How Your Teams Get Work Done?

By: Rohan Narayana Murty, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna and Kartik Hosanagar

In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital... View Details

Keywords: Leading Teams; Work Recall Gap; Machine Learning; Algorithms; Groups and Teams; Management; Technological Innovation

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30 May 2023
Research & Ideas

Can AI Predict Whether Shoppers Would Pick Crest or Colgate?

but large language models like generative pre-trained transformers (GPTs) may allow companies to rely on AI to uncover consumers’ tastes, according to new research from Harvard Business School and Microsoft.... View Details

Keywords: by Kristen Senz

September–October 2024
Article

How AI Can Power Brand Management

By: Julian De Freitas and Elie Ofek

Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details

Keywords: Creativity; AI and Machine Learning; Brands and Branding; Product Positioning; Customer Focus and Relationships

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2024
Article

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

By: Michael Lingzhi Li and Kosuke Imai

A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details

Keywords: AI and Machine Learning; Research

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

March 2025
Case

Xfund and Sam Altman: Finding Harvard’s Best Generative AI Founders

By: Suraj Srinivasan

On May 1, 2024, Xfund Managing Partners Patrick Chung and Brandon Farwell, hosted a high-stakes venture pitch session designed to select one startup for a minimum $100,000 investment. This “Xperiment Stake” competition, dedicated to startups in the Generative AI... View Details

Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Technology Industry; United States

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