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Publications

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  • All HBS Web  (491)
    • News  (148)
    • Research  (225)
    • Events  (7)
    • Multimedia  (6)
  • Faculty Publications  (179)

Show Results For

  • All HBS Web  (491)
    • News  (148)
    • Research  (225)
    • Events  (7)
    • Multimedia  (6)
  • Faculty Publications  (179)
← Page 13 of 491 Results →
  • 19 Dec 2023
  • Research & Ideas

15 Podcast Episodes That Grabbed Listeners in 2023

ethics, and workforce implications. How LinkedIn Parses Talent, Skills, and Diversity Professional work has hit multiple inflection points—from generative AI to remote work and shifting skills requirements.... View Details
Keywords: by Danielle Kost
  • 17 Jan 2023
  • In Practice

8 Trends to Watch in 2023

As 2023 begins, businesses and employees face an uncertain economy and labor market, as the twin dilemmas of inflation and interest rates weigh on forecasts. Harvard Business School faculty share the top trends that they believe will shape the workplace and markets... View Details
Keywords: by Avery Forman
  • 21 Apr 2023
  • Research & Ideas

The $15 Billion Question: Have Loot Boxes Turned Video Gaming into Gambling?

and Andrey Simonov, associate professor at Columbia Business School, analyzes the loot box business using data from millions of players. Loot boxes generate $15 billion a year revenue for gaming companies. But 90 percent of that money... View Details
Keywords: by Scott Van Voorhis; Video Game; Media & Broadcasting
  • 01 Dec 2023
  • News

3-Minute Briefing: Nathaniel Fick (MBA/MPA 2008)

As a Marine, I led some of the first units in Afghanistan and Iraq. What I loved about that experience was the intersection of a mission with building and leading teams. I came to HBS to develop the tools around that work, but in a very different context. On the... View Details
Keywords: Julia Hanna
  • Web

2023 Reunion Presentations - Alumni

Artificial Intelligence and the Future of Work in the Post-Covid World Professor Joe Fuller (MBA 1981) + More Info – Less Info What is going on in labor market? How will generative AI and other technologies... View Details
  • 01 Sep 2023
  • News

Solving for Z

consistent with external survey results that demonstrate a lack of such alignment is one of the key reasons cited for wanting to leave a current position.) For example, when Adobe began developing a new family of generative View Details
Keywords: Alexander Gelfand; Illustrations by Doug Chayka; Administration of Human Resource Programs; Government
  • 2022
  • Working Paper

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning
Citation
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Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
  • Web

Leadership - Faculty & Research

In April 2025, the founding team of Windsurf, an AI start-up specializing in code generation gathered in Mountain View, California, to assess its remarkable year of growth. The company had scaled from a... View Details
  • 01 Jun 2024
  • News

From Chalkboards to Chatbots

Artwork/animation by Greg Meeson/hitandrunmedia.com; shutterstock.com Generative artificial intelligence (GenAI) is reshaping our world at an unprecedented pace, becoming an integral part of how we live, work, and interact. It is therefore critical for current and... View Details
  • Web

Human Behavior & Decision-Making - Faculty & Research

for groundbreaking innovation could be unlocked by leveraging their ability to prompt human creativity. This paper advances the theoretical and practical understanding of LLMs in ideation for consumer research, offering numerous practical strategies for integrating... View Details
  • Web

Japan - Global

current research in areas ranging from the life sciences and time management to digital innovation and generative AI. More than 100 company executives and HBS alumni attended the event, and the faculty enjoyed engaging with them at the... 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
  • 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
  • Web

Online Business Courses & Certifications | HBS Online

decisions that generate financial success. 8 weeks, 5–6 hrs/week Pay by August 14 $1,850 Certificate Alternative Investments Professors Victoria Ivashina, Randolph Cohen, & Arthur Segel Take your finance knowledge to the next level by... View Details
  • 22 Mar 2024
  • Research & Ideas

Open Source Software: The $9 Trillion Resource Companies Take for Granted

Like: The Network Effect: Why Companies Should Care About Employees’ LinkedIn Connections How to Get Companies to Make Investments That Benefit Everyone How to Make AI 'Forget' All the Private Data It Shouldn't Have Feedback or ideas to... View Details
Keywords: by Rachel Layne; Computer; Information Technology; Technology
  • 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
Citation
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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.
  • 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
Citation
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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.
  • 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
  • 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
Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
Citation
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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.
  • 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
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