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Show Results For
- All HBS Web
(435)
- News (134)
- Research (193)
- Events (2)
- Multimedia (5)
- Faculty Publications (146)
- Web
Policies, Rules & Guidelines | About
faculty involvement in student ventures and extends it to cover student involvement in faculty ventures. Marketing AI Guidelines Artificial Intelligence (AI) is having a significant impact on the marketing discipline in several areas... View Details
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management... View Details
Keywords: AI and Machine Learning; Personal Characteristics; Perception; Interpersonal Communication
Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
- Web
Tools & Training - Alumni
careers. This Key Job Search worksheet might be helpful to generate ideas. Career & Life Criteria Examples Check out some Career and Life Criteria examples. As you read them, you might begin to reflect on what your own criteria might be.... View Details
- Web
Faculty & Researchers - Managing the Future of Work
wide array of questions about computing, communication, and Internet markets. Research Open Source Machine Learning at Google , Harvard Business School case, 2023. With Martin Wattenberg, Fernanda Viegas, Daniel Yue, and James Barnett. Copilot(s): View Details
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 22 Feb 2024
- Blog Post
It’s Time to Build: Why the MS/MBA Is Right for You!
generally applicable, I also hoped to stay technical where possible, especially in 2021 amid the changing environment for AI and Web3. A conversation with a friend and mentor Emily Batt (MS/MBA 2020)... View Details
- Web
Entrepreneurial Management Curriculum - Faculty & Research
Vikram Gandhi January 2025 J 3.0 IFC: Silicon Valley; Disrupting Silicon Valley with AI Mark Roberge January 2025 J 3.0 Launching Tech Ventures Christina Wallace Fall 2024 Q1Q2 3.0 Jeffrey Bussgang Spring 2025 Q3Q4 3.0 Law, Management and... View Details
- 05 Jun 2023
- What Do You Think?
Is the Anxious Achiever a Post-Pandemic Relic?
book. We all would like both time and money. But this generation appears, at least for now, to place a higher value on time, personal development, and lifestyle than on maximizing income. In addition, many Gen Zers have an aversion to... View Details
Keywords: by James Heskett
- 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
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 01 Dec 2023
- News
A Continuum of Innovation
innovation, and we’re committed to continuing that tradition. You can see that in how we’ve approached generative artificial intelligence (GAI) in the program this year. From early in 2023, when we began planning our policy on GAI, we... View Details
Keywords: Jennifer Gillespie
- January–February 2025
- Article
Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing
By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details
Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 14 Jul 2023
- Blog Post
Harvard Business School Announces Its 2023-2024 Blavatnik Fellows
fellows will be a part of the next decade of life science venture creation. I am truly delighted to continue to be a part of the fellowship’s growth and to be able to mentor the next generation of entrepreneurs who are commercializing... View Details
- Web
Skydeck - Alumni
the next generation of talent Jeff Immelt (MBA 1982) in the Hot Seat: Episode 1 The makings of a CEO and lessons in leading change A Letter to My White Friends and Colleagues Steven Rogers (MBA 1985) offers an action plan for helping the... View Details
- 03 Oct 2017
- First Look
First Look at Research and Ideas, October 3, 2017
prospects of females. However, Edlund (1999) proposes an (as yet untested) theory that, in environments where hypergamy is practiced and parents derive utility from married children, a male-skewed sex ratio can generate a permanent female... View Details
Keywords: by Sean Silverthorne
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
- 20 Oct 2023
- News
Highlights from the Fall 2023 Alumni Board Meeting
of upcoming on-campus alumni conferences, including a Generative AI conference in the spring. External Relations is also introducing a new tool for volunteer management, GiveCampus, that will increase... View Details
- 30 Nov 2021
- In Practice
What's the Role of Business in Confronting Climate Change?
The 26th annual United Nations Climate Change Conference of the Parties, also known as COP26, ended with a hard-fought pact that called on businesses and governments to meet their climate change goals faster. The event followed an August report by the Intergovernmental... View Details
Keywords: by Lynn Schenk and Dina Gerdeman
- 28 Mar 2024
- News
Rooms with a View
argues that it’s their people. If companies understand the economics of the hospitality industry that way, Mirza believes more of the profits will flow to the employees. “In any service business, your brand equity is very much tied to your talent and, in hotels,... View Details
- 01 Jun 2024
- News
Quantum Leap
learning—a phenomenon known as “quantum AI”—would allow artificially intelligent systems to process vast amounts of data at incredible speed, enabling businesses to train their AI models more quickly and energy efficiently, and to View Details