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Publications

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  • All HBS Web  (776)
    • News  (216)
    • Research  (367)
    • Events  (12)
    • Multimedia  (8)
  • Faculty Publications  (282)

Show Results For

  • All HBS Web  (776)
    • News  (216)
    • Research  (367)
    • Events  (12)
    • Multimedia  (8)
  • Faculty Publications  (282)
← Page 5 of 776 Results →
  • 20 Nov 2019
  • Research & Ideas

It's No Joke: AI Beats Humans at Making You Laugh

my god,” replied the lawyer, finally noticing the bloody left shoulder where his arm once was. “Where's my Rolex?!” Do you think your friends would find that joke amusing—well, maybe those who aren’t lawyers? A research team led by... View Details
Keywords: by Dina Gerdeman
  • 05 Nov 2024
  • Research & Ideas

AI Can Help Leaders Communicate, But Can't Make Employees Listen

and mistakes and abbreviations the CEO uses,” Choudhury says. “What that tells us, generally, is that at least technologically, we can create a writing bot for any one of us.” Illustrations by Ariana Cohen-Halberstam using images... View Details
Keywords: by Ben Rand; Information Technology; Technology
  • 2025
  • Working Paper

Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details
Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)
  • March 2024 (Revised August 2024)
  • Case

Darktrace: Scaling Cybersecurity and AI (A)

By: Jeffrey F. Rayport and Alexis Lefort
In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details
Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States
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Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (A)." Harvard Business School Case 824-092, March 2024. (Revised August 2024.)
  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

There’s a virtual elephant in AI’s room: It’s nearly impossible to make the technology forget. And there are an increasing number of scenarios where consumers and programmers may not only want to remove data from a machine learning model—they may be required to do so... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 16 Feb 2024
  • Research & Ideas

As AI Upends Recruiting, Job Seekers Need a Waze App for Careers

postings and social media and impressions from informal conversations. “Companies invest tens of millions of dollars on user experience for customers, but don't bring any of that discipline to applicant experience.” That puts employers in a quandary. They grapple with... View Details
Keywords: by Rachel Layne; Information Technology; Technology
  • Blog

Is AI Coming for Your Job?

expect a bifurcation of the workforce in the near future: individuals who embrace AI to enhance their productivity, potentially yielding substantial gains, and those who resist AI and risk falling behind.... View Details
  • Web

Marketing AI Guidelines | About

customer service. Drafting marketing plans and creative briefs. Citing the Use of AI To ensure the authenticity of the content we produce, it is important to be transparent about the use of AI. Original images (e.g. illustrations, data... View Details
  • 13 Nov 2019
  • Research & Ideas

Don't Turn Your Marketing Function Over to AI Just Yet

customers on the brand? Amano points out that the benefits of personalized marketing are often overshadowed by the creepiness factor. “There definitely are a bunch of benefits that we reap from the fact that firms and governments have... View Details
Keywords: by Kristen Senz
  • January 2025
  • Technical Note

AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
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Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
  • 26 Jun 2017
  • Research & Ideas

How Cellophane Changed the Way We Shop for Food

marketed the idea of better-selling-through-cellophane, releasing several self-funded studies on the efficacy of visual marketing. “DuPont’s research concluded that 85 percent of all food purchase was done by the eye,” View Details
Keywords: by Carmen Nobel; Food & Beverage; Retail; Advertising
  • January 2025
  • Case

AI Meets VC: The Data-Driven Revolution at Quantum Light Capital

By: Lauren Cohen, Grace Headinger and Sophia Pan
Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
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Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.
  • December 2023 (Revised August 2024)
  • Case

Monsters in the Machine? Tackling the Challenge of Responsible AI

By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
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Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
  • 15 Nov 2018
  • News

Don’t Be Afraid of AI

the founding CEO of Palm and the cofounder of Handspring, ushering in two of the tech ages biggest leaps—handheld computing, and the smart phone. So, she's essentially been famously successful by being right about the future. We sat down... View Details
Keywords: Computer Systems Design and Related Services; Professional Services
  • 01 Jun 2024
  • News

Competing in the Age of AI

Above: Karim Lakhani discussed GenAI with alumni during his presentation at When Professor Karim Lakhani leads discussions about generative artificial intelligence (GenAI), he often begins by asking audience members to stand if they’ve used an AI tool like ChatGPT or... View Details
Keywords: April White
  • 25 Apr 2022
  • Video

Winning the War of the Future: Cyber, Disinformation, and AI

  • Web

Online AI Course | HBS Online

Introduction to AI Essentials for Business LIMITED TIME ONLY Extra learning at no extra cost. Enroll now and unlock a GenAI Bonus Bundle featuring complimentary lessons on AI fundamentals. Download our guide... View Details
  • 11 Jan 2017
  • Research & Ideas

The Paradoxical Quest to Make Food Look 'Natural' With Artificial Dyes

Storie-Johnson “Today, we tend to view color as an ingredient,” says Ai Hisano, the Harvard-Newcomen Fellow in Business History at Harvard Business School. Hisano is author of the HBS working paper,... View Details
Keywords: by Carmen Nobel
  • Web

Ai Weiwei Strength 2019 | About

Ai Weiwei Strength , 2019 Ai Weiwei (Chinese, born 1957), Strength , 2019, cast iron, 70 1/2 x 76 3/8 x 88 5/8 inches. Courtesy of the Artist, Lisson Gallery, and neugerriemschneider . View Details
  • 2023
  • Working Paper

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
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