Publications

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Tsedal Neeley is the Naylor Fitzhugh Professor of Business Administration, Senior Associate Dean of Faculty Development and Research, and Faculty Chair of the Christensen Center for Teaching... View Details

2022
Conference Presentation

Towards the Unification and Robustness of Post hoc Explanation Methods

By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju

As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details

Keywords: AI and Machine Learning

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21 Sep 2023
HBS Seminar

Pinar Ozcan, Saïd Business School

Teaching Interest

Harvard Business Analytics Program: Operations and Supply Chain Management

By: Dennis Campbell

Digital technologies and data analytics are radically changing the operating model of an organization and how it connects to its broader supply chain and ecosystem. This course emphasizes managing product availability, especially in a context of rapid product... View Details

April–June 2022
Other Article

Commentary on 'Causal Decision Making and Causal Eﬀect Estimation Are Not the Same... and Why It Matters'

By: Edward McFowland III

There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details

Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness

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23 Oct 2018
First Look

New Research and Ideas, October 23, 2018

Data and Machine Learning By: Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck Abstract—Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates... View Details

Keywords: Dina Gerdeman

2021
Book

The Future of Executive Development

By: Mihnea C Moldoveanu and Das Narayandas

Executive development programs have entered a period of rapid transformation, driven by digital disruption and a widening gap between the skills that participants and their organizations demand and those provided by their executive programs. This work delves into the... View Details

Keywords: Executive Education; Leadership Development; Management Skills; Education Industry

April 2023 (Revised February 2024)
Case

AI Wars

By: Andy Wu, Matt Higgins, Miaomiao Zhang and Hang Jiang

In February 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI. Over a year ago, OpenAI released ChatGPT, a... View Details

Keywords: AI; Artificial Intelligence; AI and Machine Learning; Technology Adoption; Competitive Strategy; Technological Innovation

November 2015 (Revised May 2016)
Case

Aspiring Minds

By: Karim R. Lakhani, Marco Iansiti and Christine Snively

By 2015, India-based employment assessment and certification provider Aspiring Minds had helped facilitate over 300,000 job matches through its assessment tools. Aspiring Minds' flagship product, the Aspiring Minds Computer Adaptive Test (AMCAT), used machine learning... View Details

Keywords: Information Technology; Strategy; Higher Education; Technological Innovation; Employment; Technology Industry; India; China

Elisabeth Paulson is an Assistant Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School. She teaches the first year course on Technology and Operations Management in the required curriculum.
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Keywords: agriculture; federal government; state government; grocery; nonprofit industry

Policy versus Practice: Conceptions of Artificial Intelligence

The recent growth of concern around issues such as social biases implicit in algorithms, economic impacts of artificial intelligence (AI), or potential existential threats posed... View Details

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

March 2025
Case

Niramai: An AI Solution to Save Lives

By: Rembrand Koning, Maria P. Roche and Kairavi Dey

Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details

Keywords: Entrepreneurship; AI and Machine Learning; Technology Adoption; Health Care and Treatment; Technology Industry; Health Industry; Asia; India; South Asia

May 2024
Teaching Note

AI Wars

By: Andy Wu and Matt Higgins

Teaching Note for HBS Case No. 723-434. In 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI popularized over... View Details

Keywords: AI; Trends; AI and Machine Learning; Public Opinion; Technological Innovation; Competitive Advantage; Technology Industry

Srikant M. Datar became the eleventh dean of Harvard Business School on 1 January 2021. During his tenure as a faculty member, he served as Senior Associate Dean for University Affairs (including Faculty Chair of the Harvard Innovation Lab), for Research, for... View Details

Keywords: accounting industry; airline; automobiles; banking; biotechnology; communications; consumer products; e-commerce industry; health care; high technology; investment banking industry; management consulting; manufacturing; pharmaceuticals; venture capital industry

Research Summary

Overview

By: Srikant M. Datar

Professor Datar has several research and course development interests. His initial areas of research interest were in cost management and management control, strategy implementation and governance. Over the last few years his areas of interest are management education,... View Details

June 2023
Article

When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju

As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can help them decide if and how to incorporate model predictions into their decision... View Details

Keywords: AI and Machine Learning; Decision Making