Interpretable Machine Learning - Publications - Faculty & Research

15 Oct 2008
First Look

First Look: October 15, 2008

therein), fairness can be restored if a sufficiently large amount of money is available for distribution/compensation as well. Interpreting the agents as the objects to be allocated, one might try to restore fairness for marriage markets... View Details

Keywords: Martha Lagace

03 Apr 2025
HBS Seminar

Ziad Obermeyer, UC Berkeley School of Public Health

16 Apr 2001
Research & Ideas

Brand Power from Wedgwood to Dell: Part One

her latest book. An authority on business history as well as branding, consumer behavior, and business strategy, Koehn cut her historical teeth on understanding and interpreting the economic and social contexts for businesses. In Brand... View Details

Keywords: by Martha Lagace

March 2021
Case

VideaHealth: Building the AI Factory

By: Karim R. Lakhani and Amy Klopfenstein

Florian Hillen, co-founder and CEO of VideaHealth, a startup that used artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. A process for quickly building and iterating on new... View Details

Keywords: Artificial Intelligence; Innovation and Invention; Disruptive Innovation; Technological Innovation; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Entrepreneurship; AI and Machine Learning; Technology Industry; Medical Devices and Supplies Industry; North and Central America; United States; Massachusetts; Cambridge

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By: Joshua Lev Krieger

In examining the competitive dynamics of R&D strategy, Josh has become particularly interested in how the introduction of new knowledge generated by rivals impacts the direction of R&D efforts. Understanding how new information alters project portfolio decisions is... View Details

2019
Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills

Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details

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Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM) at HBS, and a Faculty Affiliate in Computer Science at SEAS. He is Principal Investigator of the Trustworthy AI Lab in Harvard's new View Details

A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing... View Details

15 Aug 2016
Research & Ideas

Black Swans and Big Trends Can Ruin Anyone's Internet Prediction

2012 and was poised for explosive growth. Readers who are too young to recall the dot-com crash might reasonably ask whether my interpretations in 2001 were idiosyncratic—perhaps because I was, as an academic, either excessively cautious... View Details

Keywords: by Thomas R. Eisenmann; Technology

01 Dec 2015
First Look

December 1, 2015

strong evidence that p*t is the single factor driving option-implied jump risk measures in the cross section of firms. This is a core assumption of the rare disasters paradigm. A number of empirical patterns further support the View Details

Keywords: Sean Silverthorne

2023
Working Paper

In-Context Unlearning: Language Models as Few Shot Unlearners

By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju

Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details

Keywords: AI and Machine Learning; Copyright; Information

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Strategy - Doctoral

business Mattias E. Fibiger Sophus A. Reinert Charlotte L. Robertson Dennis A. Yao International business Juan Alcacer William R. Kerr Machine learning Himabindu Lakkaraju Michael Lingzhi Li Edward McFowland... View Details

30 Oct 2007
First Look

First Look: October 30, 2007

cognitive processes through which a problem is interpreted associatively in terms of something that has been experienced in the past. Despite recognition's centrality to strategic choice, we have limited knowledge of its nature and its... View Details

Keywords: Sean Silverthorne

Web

Marketing - Doctoral

McFowland III Michael I. Norton Electronic commerce Kris Johnson Ferreira Ayelet Israeli Henry W. McGee Isamar Troncoso Marketing Tomomichi Amano Eva Ascarza Anita Elberse Sunil Gupta Ayelet Israeli Rajiv Lal V. Kasturi Rangan Isamar Troncoso Jeremy Yang Shunyuan Zhang... View Details

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Technology & Operations Management - Doctoral

technology Iavor I. Bojinov Shane M. Greenstein Edward McFowland III David B. Yoffie Knowledge management Alexandra C. Feldberg Jacqueline Ng Lane Maria P. Roche Innovation Iavor I. Bojinov Marco Iansiti Alan D. MacCormack Kyle R. Myers Maria P. Roche Stefan H. Thomke... View Details

17 Jul 2023
Research & Ideas

Money Isn’t Everything: The Dos and Don’ts of Motivating Employees

that the process is transparent and understood, even if everyone’s individual pay isn’t transparent. Don’t replace all your people with robots In the age of AI and robotics, it’s tempting to slash costs by subbing in machines or View Details

Keywords: by Avery Forman

21 Oct 2024
Research & Ideas

What Happens in Vegas Could Shape the Metaverse

competing incentives in building the metaverse, our view is that the metaverse can still succeed,” they write, “but it might call for a shift in mindset and an openness to learning from seemingly distant domains of knowledge.” Along those... View Details

Keywords: by Scott Nover; Computer; Information Technology

Michael Lingzhi Li

Keywords: health care; insurance industry

26 Apr 2023
In Practice

Is AI Coming for Your Job?

will be displaced in large numbers. Those job losses will be partially offset by job gains for machine learning specialists and emerging jobs like prompt engineers. But, once companies View Details

Keywords: by Kristen Senz; Technology

January 2018 (Revised March 2019)
Case

Autonomous Vehicles: The Rubber Hits the Road...but When?

By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano

The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will... View Details