Publications

2023
Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li

We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details

Keywords: AI and Machine Learning; Mathematical Methods

November–December 2024
Article

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

By: Kirk Bansak and Elisabeth Paulson

This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details

Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment

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13 May 2022
Research & Ideas

Company Reviews on Glassdoor: Petty Complaints or Signs of Potential Misconduct?

upstream indicators of culture gone sour, they scraped employee reviews from Glassdoor.com, a website where employees can leave subjective anonymous reviews about their employer. Harnessing machine learning... View Details

Keywords: by Michael Blanding; Technology

March 16, 2021
Article

From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles

By: Julian De Freitas, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony and Emilio Frazzoli

For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing complex autonomous systems with ethically acceptable behavior. We... View Details

Keywords: Automated Driving; Public Health; Artificial Intelligence; Transportation; Health; Ethics; Policy; AI and Machine Learning

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2023
Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill

Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details

Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning

September 2023
Case

Ada: Cultivating Investors

By: Reza Satchu and Patrick Sanguineti

Mike Murchison, co-founder and CEO of Ada, has an enviable dilemma. Launched in 2016 by Murchison and his co-founder David Hariri, Ada is an AI-native company that aims to revolutionize how businesses approach customer service. The company has already attracted a buzz,... View Details

Keywords: Founder; Fundraising; Business Startups; Decisions; Entrepreneurship; Venture Capital; AI and Machine Learning; Technology Industry

Educators

07 Aug 2013
What Do You Think?

Is There Still a Role for Judgment in Decision-Making?

contradictory to sound judgment. It only emphasizes it . Judgment is an encapsulation of all those elements data, facts, processes, etc that go into decisions from which we have learned in the past." Joe Schmid said: "Our... View Details

Keywords: by James Heskett

July–August 2024
Article

Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

By: Ta-Wei Huang and Eva Ascarza

Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details

Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy

Teaching Interest

Overview

By: V.G. Narayanan

I teach accounting to MBA students, executives, and Harvard Extension School students. I teach topics from both financial and managerial accounting. I also train professors in teaching by the case method. View Details

Keywords: Financial Accounting; Management Accounting; Case Method Teaching; Corporate Governance; Customer Relationship Management; AI and Machine Learning; Health Industry; Education Industry; Banking Industry; India; North America

May 2024
Article

The Health Risks of Generative AI-Based Wellness Apps

By: Julian De Freitas and G. Cohen

Artifcial intelligence (AI)-enabled chatbots are increasingly being used to help people manage their mental health. Chatbots for mental health and particularly ‘wellness’ applications currently exist in a regulatory ‘gray area’. Indeed, most generative AI-powered... View Details

Keywords: AI and Machine Learning; Well-being; Governing Rules, Regulations, and Reforms; Applications and Software

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

18 Jul 2019
Lessons from the Classroom

The Internet of Things Needs a Business Model. Here It Is

'I’ll bring it down to 3 percent,' but without any proof, the customer will say, 'why don’t you try it out on someone else first,'” Lal says. For that reason, instead of just selling connected products to business customers, companies must View Details

Keywords: by Michael Blanding; Computer

Article

Why Boards Aren't Dealing with Cyberthreats

By: J. Yo-Jud Cheng and Boris Groysberg

Keywords: Board Of Directors; Cybersecurity; Corporate Governance; AI and Machine Learning

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Winter 2021
Editorial

Introduction

By: Michael A. Wheeler

This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details

Keywords: Artificial Intelligence; Information Technology; Negotiation; AI and Machine Learning

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16 Dec 2022
Research & Ideas

Why Technology Alone Can't Solve AI's Bias Problem

other strategies to achieve a better solution in the end.” You Might Also Like: When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap? When Design Enables... View Details

Keywords: by Michael Blanding; Technology

May 2021
Supplement

Distinct Software Dataset

By: Das Narayandas

Keywords: Artificial Intelligence; Marketing; AI and Machine Learning

2023
Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details

Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry

October 2023 (Revised January 2025)
Case

Sydney Loves Kevin

By: Ryan W. Buell and Himabindu Lakkaraju

Kevin Roose was a columnist and podcast host for the New York Times, who focused on technology and its effects on society. When Microsoft launched the latest version of its search engine Bing in February 2023, the company invited Roose to its Redmond campus to... View Details

Keywords: Newspapers; AI and Machine Learning; Technology Adoption; Technological Innovation; Perspective; Media and Broadcasting Industry; Media and Broadcasting Industry