Supervised Machine Learning - Publications - Faculty & Research - Harvard Business School

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02 Oct 2018
First Look

New Research and Ideas, October 2, 2018

policies. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55050 "Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres... View Details

Keywords: Dina Gerdeman

2025
Article

Ideation with Generative AI—In Consumer Research and Beyond

By: Julian De Freitas, G. Nave and Stefano Puntoni

The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details

Keywords: Large Language Model; AI and Machine Learning; Creativity; Innovation Strategy

June 2024
Teaching Note

Numenta in 2020: The Future of AI

By: David B. Yoffie

In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This teaching note explores the challenges of building a... View Details

Keywords: Artificial Intelligence; Monetization; Strategy; Intellectual Property; AI and Machine Learning; Business Model; Entrepreneurship; Technology Industry

July 2024
Case

Replika AI: Alleviating Loneliness (A)

By: Shikhar Ghosh and Shweta Bagai

Eugenia Kuyda launched Replika AI in 2017 as an empathetic digital companion to combat loneliness and provide emotional support. The platform surged in popularity during the COVID-19 pandemic, offering non-judgmental support to isolated users. By 2023, Replika boasted... View Details

Keywords: Entrepreneurship; Ethics; Health Pandemics; AI and Machine Learning; Well-being; Technology Industry

March 2025
Case

Mobvoi’s Path Through Market Challenges and Business Reinvention

By: Paul A. Gompers and Shu Lin

Founded in 2012, Mobvoi evolved through multiple transformations—from AI-driven voice technology to smart wearables and later AI-generated content. Backed by major investors, the company navigated shifts in strategy while facing two failed IPO attempts. As market... View Details

Keywords: Business Startups; Entrepreneurship; AI and Machine Learning; Technology Industry; China

July–August 2021
Article

Why You Aren't Getting More from Your Marketing AI

By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie

Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details

Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning

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2023
Article

On the Impact of Actionable Explanations on Social Segregation

By: Ruijiang Gao and Himabindu Lakkaraju

As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details

Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result

April 2021
Case

Distinct Software

By: Das Narayandas, Arijit Sengupta and Jonathan Wray

Distinct Software (disguised name), a global enterprise software company, is at an important point in its growth trajectory where the luster of its mantra of “grow and win at any cost” has dimmed with increasing competition and margin pressures. To help navigate its... View Details

Keywords: Artificial Intelligence; Marketing; Sales; Performance Productivity; Technological Innovation; AI and Machine Learning

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

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

March 2024
Teaching Note

'Storrowed': A Generative AI Exercise

By: Mitchell Weiss

Teaching Note for HBS Exercise No. 824-188. “Storrowed” is an exercise to help participants raise their proficiency with generative AI. It begins by highlighting a problem: trucks getting wedged underneath bridges in Boston, Massachusetts on the city’s Storrow Drive.... View Details

Keywords: AI and Machine Learning; Entrepreneurship; Innovation and Invention; Government Administration; Transportation Industry; Public Administration Industry

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

Keywords: AI and Machine Learning; Demographics; Prejudice and Bias

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

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

27 Jun 2024
Research & Ideas

Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge

their products listed on top, is that a good thing or a bad thing? It just depends on which side you’re looking from,” says Lakkaraju. The coffee machine experiment The study involves a hypothetical search for an “affordable” new coffee... View Details

Keywords: by Ben Rand; Technology

05 Nov 2024
Research & Ideas

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

It's an AI-age twist on the classic Turing Test, developed by British computer scientist Alan Turing in 1950 to judge whether machines could exhibit “intelligence.” Called the “Wade Test,” after the CEO of the company the researchers... View Details

Keywords: by Ben Rand; Information Technology; Technology

September 29, 2023
Article

Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

By: Simon Friis and James Riley

When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details

Keywords: AI and Machine Learning; Prejudice and Bias; Equality and Inequality

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Profile

John Bracaglia

learning will impact a lot of industries," John says. "I want to show my colleagues the kind of impact AI can really have and how it applies to MBA students." In 2019, John took a lead role in organizing and running the... View Details

Keywords: Manufacturing/Energy; Tech; CPG

August 2024 (Revised March 2025)
Case

DBS' AI Journey

By: Feng Zhu, Harold Zhu and Adina Wong

Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers.... View Details

Keywords: Corporate Governance; AI and Machine Learning; Digital Transformation; Risk Management; Value Creation; Banking Industry; Financial Services Industry; Asia; Singapore

2024
Working Paper

Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions

By: Caleb Kwon, Ananth Raman and Jorge Tamayo

We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details

Keywords: AI and Machine Learning; Forecasting and Prediction; Working Conditions; Performance Productivity

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