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Show Results For

  • All HBS Web  (573)
    • News  (145)
    • Research  (212)
    • Events  (7)
    • Multimedia  (6)
  • Faculty Publications  (179)
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  • 2023
  • Article

Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
  • 11 Jun 2024
  • In Practice

The Harvard Business School Faculty Summer Reader 2024

As the vacation season looms, Harvard Business School faculty members share recommendations for a little light reading. Spoiler alert: Lessons in Chemistry tops two of their beach-read lists. For those whose brains can’t—or won’t—turn off, HBS faculty also suggest some... View Details
Keywords: by Avery Forman
  • Research Summary

Overview

By: Roberto Verganti
Roberto’s research focuses on how to create innovations that are meaningful for people, for society, and for their creators. He explores how leaders and organizations generate radically new visions, and make those visions come real. His studies lie at the intersection... View Details
Keywords: Integrated Design; Strategy; Design Thinking; Innovation; Artificial Intelligence; Design; Technology; Leadership; Innovation Strategy
  • 15 May 2024
  • Research & Ideas

A Major Roadblock for Autonomous Cars: Motorists Believe They Drive Better

AI in Adapting to Change Can Autonomous Vehicles Drive with Common Sense? Can we automate our way to better decision making? Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu. Image: Illustration created by... View Details
Keywords: by Rachel Layne; Transportation; Auto
  • February 2024 (Revised September 2024)
  • Case

TimeCredit

By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting background, as she decides how much... View Details
Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Technology Industry
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Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Case 824-139, February 2024. (Revised September 2024.)
  • February 2024
  • Teaching Note

TimeCredit

By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
Teaching Note for HBS Case No. 824-139. TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting... View Details
Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Partners and Partnerships; Technology Industry
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Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Teaching Note 824-171, February 2024.
  • 01 May 2024
  • What Do You Think?

Have You Had Enough?

(Illustration created using image generated by Midjourney, an artificial intelligence tool.) Last month, I posted a column in HBS Working Knowledge titled, “What’s Enough to Make Us Happy?” Over the last few months, I’ve been asking... View Details
Keywords: by James Heskett
  • 2024
  • Working Paper

Scaling Core Earnings Measurement with Large Language Models

By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
  • 24 Jul 2023
  • Research & Ideas

Part-Time Employees Want More Hours. Can Companies Tap This ‘Hidden’ Talent Pool?

demographics,” Fuller says. Acknowledge–and embrace–the prevalence female caregivers in the workforce. “Employers need to recognize that this demographic is going to become more important in the workforce of the future,” Fuller says. Future View Details
Keywords: by Kara Baskin
  • 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
  • 07 Feb 2022
  • Research & Ideas

Digital Transformation: A New Roadmap for Success

different generations in the workforce: digital natives, who grew up with digital tools; digital immigrants, who are open to learning and changing; and digital refugees, who avoid digital tools they view as unsettling and scary. While not... View Details
Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards
  • 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
  • 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
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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.
  • 2023
  • Article

Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
  • 08 Nov 2016
  • First Look

November 8, 2016

approaches on the subject in terms of longitudinal and geographical scope. We suggest that the straightforward association of the general environmental settings of market immaturities and institutional voids with the existence of... View Details
Keywords: Sean Silverthorne
  • 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
  • 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
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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.
  • 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
  • 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
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