Publications

2023
Working Paper

The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

By: David S. Scharfstein and Sergey Chernenko

We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details

Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result

SSRN

October 2019
Case

Feeling Machines: Emotion AI at Affectiva

By: Shane Greenstein and John Masko

In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details

Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States

Educators

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

June 2021
Article

From Predictions to Prescriptions: A Data-driven Response to COVID-19

By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng

The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details

Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science

06 May 2015
What Do You Think?

Are You Ready for Personalized Predictive Analytics?

Summing Up Personal Predictive Analytics: Should We Be Careful What We Wish For? The world of continuous monitoring of numerous sensors for machines and humans, limitless information storage capacity, and big data combined with rapid... View Details

Keywords: by James Heskett

01 May 2018
First Look

First Look at New Research and Ideas, May 1, 2018

Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP) No abstract available. Purchase this case:... View Details

Keywords: Sean Silverthorne

07 Jun 2016
First Look

June 7, 2016

data are often voluminous and unstructured, presenting analytical challenges for traditional tools that were designed for well-structured, quantitative data. We adapt methods from natural language processing and machine View Details

Keywords: Sean Silverthorne

15 Sep 2015
First Look

September 15, 2015

account for the majority of sales and revenue. To tackle this challenge, we use machine learning techniques to estimate historical lost sales and predict future demand of new products. The nonparametric... View Details

Keywords: Sean Silverthorne

12 Sep 2011
Research & Ideas

The Untold Story of ‘Green’ Entrepreneurs

into electricity. The Jacobs Wind Energy Company would soon be a major player in creating machines that would electrify rural areas across America, and eventually be sold on all five continents. “We've lost the plot of these entrepreneurs... View Details

Keywords: by Sean Silverthorne

2021
Working Paper

CRM and AI in Time of Crisis

By: Michelle Y. Lu and Navid Mojir

A crisis can affect the incentives of various players within a firm’s multi-layered sales and marketing organization (e.g., headquarters and branches of a bank). Such shifts can result in sales decisions against the firm’s best interests. Motivated by the backlash to... View Details

Keywords: CRM; Artificial Intelligence; AI; B2B Marketing; Decision Authority; Crisis Marketing; Intra-organizational Conflict; COVID-19 Pandemic; Customer Relationship Management; Technological Innovation; Decision Making; Strategy; Health Pandemics; Crisis Management; AI and Machine Learning

SSRN

October 2018
Case

Shield AI

By: Mitchell Weiss and A.J. Steinlage

Shield AI’s quadcopter – with no pilot and no flight plan – could clear a building and outpace human warfighters by almost five minutes. This was not to say that it was better than the warfighters or would replace their jobs, but it was evidence that autonomous robots... View Details

Educators

08 Jan 2019
First Look

New Research and Ideas, January 8, 2019

Purchase this case:https://hbsp.harvard.edu/product/119023-PDF-ENG Harvard Business School Case 119-024 Chateau Winery (B): Supervised Learning This case builds directly on “Chateau Winery (A).” In this... View Details

Keywords: Dina Gerdeman

2024
Working Paper

Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships

By: Julian De Freitas, Noah Castelo, Ahmet Uğuralp and Zeliha Uğuralp

Can consumers form deep emotional bonds with AI and be vested in AI identities over time? We leverage a natural app-update event at Replika AI, a popular US-based AI companion, to shed light on these questions. We find that customers feel closer to their AI companion... View Details

Keywords: AI and Machine Learning; Welfare; Loss; Well-being; Identity; Perception; Relationships

SSRN

20 Mar 2017
Book

Why Companies Are Placing Users at the Core of Their Innovation Strategies

on what the company wants to achieve in their business model. Machine learning is one of the new core technologies that allow for data science. Many companies are relying on it for their advances. Google,... View Details

Keywords: by Dina Gerdeman

02 Jan 2019
What Do You Think?

SUMMING UP: Do We Need an Artificial Intelligence Czar?

inputs to machine learning and the creation of artificial intelligence. Each of these related fields of activity and opportunity encompasses a wide swath of the economy. Together, they describe a sector that... View Details

Keywords: by James Heskett; Technology

June 2024
Teaching Note

Beamery: Using Skills and AI to Modernize HR

By: Boris Groysberg, David Lane, Susan Pinckney and Alexis Lefort

Teaching Note for HBS Case No. 424-004. Unicorn human relationships startup Beamery evaluates it growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management... View Details

May 2024
Supplement

HubSpot and Motion AI (B): Generative AI Opportunities

By: Jill Avery

The technologies driving artificial intelligence (AI) had progressed significantly since HubSpot’s acquisition of Motion AI in 2017. Generative AI was the newest major development. Software-as-a-service (SaaS) companies such as HubSpot were analyzing how generative AI... View Details

Keywords: Artificial Intelligence; CRM; Chatbots; Sales Management; Generative Ai; SaaS; Marketing; Sales; AI and Machine Learning; Customer Relationship Management; Applications and Software; Technological Innovation; Competitive Advantage; Technology Industry; United States

03 Feb 2016
Research & Ideas

The State of Customer Service Leadership

still hold true. But a great deal of research over the past 20 years or so have put a lot of meat on those bones. As one example, we’ve come to learn more about creating the high-trust environment that leads to engaged employees who... View Details

Keywords: by Jim Aisner; Retail

September 2024 (Revised January 2025)
Exercise

Building an AI First Snack Company: A Hands-on Generative AI Exercise

By: Iavor I. Bojinov

Although the term 'Generative AI' (GenAI) is widely recognized, its practical application in daily workflows has yet to be understood. This exercise introduces students to GenAI tools, demonstrating how they can be seamlessly integrated into professional work practices... View Details

Keywords: AI and Machine Learning; Technology Adoption; Marketing Strategy; Product Launch; Brands and Branding