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Article

Incorporating Interpretable Output Constraints in Bayesian Neural Networks

By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez

Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details

Article

Robust and Stable Black Box Explanations

By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani

As machine learning black boxes are increasingly being deployed in real-world applications, there has been a growing interest in developing post hoc explanations that summarize the behaviors of these black boxes. However, existing algorithms for generating such... View Details

Keywords: Machine Learning; Black Box Models; Framework

Article

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan

Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details

Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software

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November 2020
Teaching Note

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli

Teaching Note for HBS Case No. 519-010. 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.... View Details

October 2020 (Revised November 2020)
Case

Wilderness Safaris: Impact Investing and Ecotourism Conservation in Africa

By: James E. Austin, Megan Epler Wood and Herman B. "Dutch" Leonard

In 2018 the majority ownership of publicly owned Wilderness Safaris, the leading high-end ecotourism company in Africa with safari operations in eight countries, was acquired by The Rise Fund, one of the world’s largest private social impact investing funds, and by FS... View Details

September 2020
Case

True North: Pioneering Analytics, Algorithms and Artificial Intelligence

By: Karim R. Lakhani, Kairavi Dey and Hannah Mayer

True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented... View Details

Keywords: Artificial Intelligence; Information Technology; Management; Operations; Organizations; Leadership; Innovation and Invention; Business Model; AI and Machine Learning; Computer Industry; Technology Industry

2020
Working Paper

(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial

By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker

While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between... View Details

Keywords: Behavioral Economics; Coronavirus; Discrimination; Homophily; Labor Market Mobility; Limited Attention; Resumes; Personal Characteristics; Prejudice and Bias

September 2020 (Revised March 2022)
Case

JOANN: Joannalytics Inventory Allocation Tool

By: Kris Ferreira and Srikanth Jagabathula

Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and... View Details

Keywords: Analytics; Machine Learning; Optimization; Inventory Management; Mathematical Methods; Decision Making; Operations; Supply Chain Management; Resource Allocation; Distribution; Technology Adoption; Applications and Software; Change Management; Fashion Industry; Consumer Products Industry; Retail Industry; United States; Ohio

September 2020
Article

Creativity, Artificial Intelligence, and a World of Surprises

By: Teresa M. Amabile

In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation... View Details

Keywords: Artificial Intelligence; AI Creativity; Computer Science; Organizational Behavior; Psychology; Creativity; Technological Innovation; AI and Machine Learning

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August 2020 (Revised September 2020)
Technical Note

Assessing Prediction Accuracy of Machine Learning Models

By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne

The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details

Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods

2021
Working Paper

Time and the Value of Data

By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti

Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details

Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value

August 2020
Supplement

Mary Guerrero and the Advancement of Latinx Talent: Developing an Employee Resource Group at a Top Tier Bank (B)

By: Rosabeth Moss Kanter and Amy Hernandez Turcios

Mary Guerrero decided to pursue the challenging road and kicked off Hispanic/Latinx Advancement and Career Engagement (HACE) at her Bulge Bracket Bank (BBB). For Mary, her larger purpose was to advance Latinx talent in the U.S. because she believed it was important for... View Details

Keywords: Latin America; Career; Engagement; Bank; Inclusion; Scale; Latinx; Talent and Talent Management; Diversity; Ethnicity; Leadership; Personal Development and Career; Leadership Development; Banks and Banking

August 2020 (Revised February 2021)
Case

Luckin Coffee (A): Caffeine-fueled Growth?

By: Ramon Casadesus-Masanell and Karen Elterman

This case describes the founding of Chinese coffee chain Luckin Coffee in 2017 and its path to surpassing Starbucks as the largest coffee chain in China (by number of stores) in 2019. Unlike Starbucks stores, which were designed to be welcoming “third places” for... View Details

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

July 2020 (Revised January 2021)
Case

Vineet Nayar and Sampark Foundation: Frugal Innovation at Scale (A)

By: Linda A. Hill and Emily Tedards

In 2005, Vineet Nayar, the former CEO and Vice Chairman of HCL Technologies, and his wife, Anupama Nayar, committed $100 million of their personal wealth to found Sampark Foundation — a grant-making philanthropy with a mission to transform learning outcomes for 20... View Details

July 2020 (Revised January 2021)
Case

Vineet Nayar and Sampark Foundation: Frugal Innovation at Scale (A) (Abridged)

By: Linda A. Hill and Emily Tedards

In 2005, Vineet Nayar, the former CEO and Vice Chairman of HCL Technologies, and his wife, Anupama Nayar, committed $100 million of their personal wealth to found Sampark Foundation—a grant-making philanthropy with a mission to transform learning outcomes for 20... View Details

Article

Oracle Efficient Private Non-Convex Optimization

By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu

One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details

Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods

Article

Active World Model Learning with Progress Curiosity

By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins

World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details

Keywords: World Models; Mathematical Methods

June 2020 (Revised May 2022)
Case

Vanguard Retail Operations (A)

By: Willy C. Shih and Antonio Moreno

The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or... View Details

Keywords: Pooling; Generalist Model; Specialist Model; Operations; Service Operations; Management; Job Design and Levels; Financial Services Industry; United States

June 2020 (Revised August 2020)
Supplement

Vanguard Retail Operations (B)

By: Willy C. Shih and Antonio Moreno

The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or... View Details

Keywords: Pooling; Generalist Model; Specialist Model; Service Operations; Management; Financial Services Industry; United States

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