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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 2 of 776 Results →
  • 26 Mar 2024
  • Research & Ideas

How Humans Outshine AI in Adapting to Change

navigate that avatar to the reward. Yet, the researchers hypothesized that human players would solve the games by “self-orienting”—that is, first figuring out which avatar was their digital self, then proceeding to navigate their digital... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • Article

AI Companions Reduce Loneliness

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet K. Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications are... View Details
Keywords: AI and Machine Learning; Well-being; Emotions; Applications and Software
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De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet K. Uğuralp, and Stefano Puntoni. "AI Companions Reduce Loneliness." Journal of Consumer Research (in press).
  • 26 Aug 2024
  • Research & Ideas

Can AI Match Human Ingenuity in Creative Problem-Solving?

When ChatGPT and other large language models began entering the mainstream two years ago, it quickly became apparent the technology could excel at certain business functions, yet it was less clear how well artificial intelligence could handle more creative tasks. Sure,... View Details
Keywords: by Michael Blanding; Information Technology; Information; Technology
  • April 2024 (Revised December 2024)
  • Case

Anthropic: Building Safe AI

By: Shikhar Ghosh and Shweta Bagai
In late 2024, Anthropic, a leading AI safety and research company, achieved a significant breakthrough with computer use capabilities that allowed AI to interact with computers like humans. Co-founded by former OpenAI employees and known for its generative AI... View Details
Keywords: AI and Machine Learning; Corporate Accountability; Corporate Social Responsibility and Impact; Business Growth and Maturation; Corporate Strategy; Technology Industry; United States
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Ghosh, Shikhar, and Shweta Bagai. "Anthropic: Building Safe AI." Harvard Business School Case 824-129, April 2024. (Revised December 2024.)
  • 30 May 2023
  • Research & Ideas

Can AI Predict Whether Shoppers Would Pick Crest or Colgate?

Brand. Whereas, with AI, “we can get those answers in under 15 minutes,” he says. Using AI to run this type of analysis prior to embarking on a human study could dramatically increase both the efficiency of testing and the quality of the... View Details
Keywords: by Kristen Senz
  • 13 Aug 2024
  • Op-Ed

Can AI Save Physicians from Burnout?

Penny for Your Thoughts? For Big-Picture Ideas, the Right Pay Structure Matters How Humans Outshine AI in Adapting to Change Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge Feedback or... View Details
Keywords: by Susanna Gallani, Lidia Moura, and Katie Sonnefeldt; Health
  • 2024
  • Working Paper

The Value of AI Innovations

By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan
We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,... View Details
Keywords: AI and Machine Learning; Valuation; Technological Innovation; Open Source Distribution; Patents; Policy; Knowledge Sharing; Technology Industry
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Chen, Wilbur Xinyuan, Terrence Tianshuo Shi, and Suraj Srinivasan. "The Value of AI Innovations." Harvard Business School Working Paper, No. 24-069, May 2024.
  • January 2025
  • Article

Reducing Prejudice with Counter-stereotypical AI

By: Erik Hermann, Julian De Freitas and Stefano Puntoni
Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
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Hermann, Erik, Julian De Freitas, and Stefano Puntoni. "Reducing Prejudice with Counter-stereotypical AI." Consumer Psychology Review 8, no. 1 (January 2025): 75–86.
  • 26 Apr 2023
  • In Practice

Is AI Coming for Your Job?

Furthermore, I 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... View Details
Keywords: by Kristen Senz; Technology
  • March 2024
  • Teaching Note

'Storrowed': A Generative AI Exercise

By: Mitchell Weiss
Teaching Note for HBS Exercise No. 824-188. “Storrowed” is an exercise to help participants raise their proficiency with generative AI. It begins by highlighting a problem: trucks getting wedged underneath bridges in Boston, Massachusetts on the city’s Storrow Drive.... View Details
Keywords: AI and Machine Learning; Entrepreneurship; Innovation and Invention; Government Administration; Transportation Industry; Public Administration Industry
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Weiss, Mitchell. "'Storrowed': A Generative AI Exercise." Harvard Business School Teaching Note 824-189, March 2024.
  • March 2025
  • Case

Harvey: AI for Lawyers

By: Suraj Srinivasan, Charles Krumholz and Radhika Kak
In early 2025, Winston Weinberg and Gabe Pereyra, co-founders of Harvey AI, reflected on the company’s meteoric rise as a pioneer in AI-powered legal technology. Since its founding in 2022, Harvey had transformed how lawyers approached research, drafting, and document... View Details
Keywords: Innovation Strategy; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Product Positioning; Legal Services Industry; Technology Industry; New York (city, NY); San Francisco; London
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Srinivasan, Suraj, Charles Krumholz, and Radhika Kak. "Harvey: AI for Lawyers." Harvard Business School Case 125-087, March 2025.
  • 11 AM – 12:30 PM EDT, 12 Mar 2025
  • Virtual Programming

"Storrowed": Getting Hands-on with Generative AI

"Storrowed" is a Generative AI session created and led by HBS professor Mitch Weiss to build that proficiency. In a lively, interactive fashion he introduces the latest in generative AI techniques for innovation and more broadly. View Details
  • November–December 2023
  • Article

Keep Your AI Projects on Track

By: Iavor Bojinov
AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details
Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
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Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.

    "Storrowed": A Generative AI Exercise

    "Storrowed" is an exercise to help participants raise their capacity and curiosity for generative AI. It focuses on generative AI for problem understanding and ideation. The exercise begins with the following introduction: "A problem vexed Boston, Massachusetts,... View Details
    • June 2024
    • Case

    Aidoc: Building a Hospital-Centric AI Platform

    By: Ariel D. Stern and Susan Pinckney
    In 2023, Israel-based AI health care company Aidoc evaluated its future. The company, founded in 2016, had grown from commercializing a single AI product for radiologists to a software platform that could detect 20 conditions and immediately notify care teams of... View Details
    Keywords: Business Growth and Maturation; Business Model; Business Organization; Business Startups; Disruption; Cost vs Benefits; Decision Choices and Conditions; Decisions; Private Sector; Entrepreneurial Finance; Global Range; Global Strategy; Globalized Markets and Industries; Governance Compliance; Governance Controls; Governing and Advisory Boards; Policy; Medical Specialties; AI and Machine Learning; Digital Platforms; Digital Transformation; Technology Adoption; Disruptive Innovation; Innovation and Management; Innovation Strategy; Laws and Statutes; Growth and Development Strategy; Growth Management; Distribution; Product Development; Success; Performance Efficiency; Strategic Planning; Research and Development; Risk and Uncertainty; Business Strategy; Competitive Advantage; Value Creation; Health Industry; Israel
    Citation
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    Stern, Ariel D., and Susan Pinckney. "Aidoc: Building a Hospital-Centric AI Platform." Harvard Business School Case 624-046, June 2024.
    • March 2024
    • Exercise

    'Storrowed': A Generative AI Exercise

    By: Mitchell Weiss
    "Storrowed" is an exercise to help participants raise their capacity and curiosity for generative AI. It focuses on generative AI for problem understanding and ideation, but can be adapted for use more broadly. Participants use generative AI tools to understand a... View Details
    Keywords: AI and Machine Learning; Problems and Challenges
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    Weiss, Mitchell. "'Storrowed': A Generative AI Exercise." Harvard Business School Exercise 824-188, March 2024.
    • August 2023
    • Case

    Kariyer.net: Recruiting AI

    By: Shunyuan Zhang, Fares Khrais and Namrata Arora
    In 2017, Fatih Uysal (AMP 2021) became CEO of Kariyer.net. By then, the business was already the industry leading online job board in Turkey. However, faced with stalling growth, a turbulent macroenvironment, and growing competition from international players, Uysal... View Details
    Keywords: Online Technology; Marketing; Websites; Artificial Intelligence; Innovation; Two-sided Platforms; Internet and the Web; Product Launch; Product Positioning; Job Search; Employment; Transformation; Volatility; Innovation and Invention; Disruptive Innovation; Management Practices and Processes; Business Growth and Maturation; Competitive Strategy; Business Startups; Talent and Talent Management; Cost vs Benefits; Macroeconomics; Corporate Entrepreneurship; Emerging Markets; Digital Platforms; Employment Industry; Information Technology Industry; Technology Industry; Middle East; Turkey
    Citation
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    Zhang, Shunyuan, Fares Khrais, and Namrata Arora. "Kariyer.net: Recruiting AI." Harvard Business School Case 524-014, August 2023.
    • 2024
    • Working Paper

    The Uneven Impact of Generative AI on Entrepreneurial Performance

    By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
    Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
    Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
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    Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
    • 01 Jun 2024
    • News

    Leveraging Generative AI

    methodology was directionally correct,” said one student. “It was almost like having a professor by my side.” —JG For HBS and Harvard AI-related resources, please visit alumni.hbs.edu/GenAI-Resources. From Chalkboards to Chatbots Decoding... View Details
    Keywords: Jennifer Gillespie
    • Article

    Don’t Let an AI Failure Harm Your Brand

    By: Julian De Freitas
    How companies market their AI systems affects the repercussions they face when their products fail. Marketers must promote their AI products with potential failure in mind. To do that, they must first understand consumers’ unique attitudes toward AI. Marketers who... View Details
    Keywords: AI and Machine Learning; Brands and Branding; Product Marketing; Consumer Behavior; Attitudes
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    De Freitas, Julian. "Don’t Let an AI Failure Harm Your Brand." Harvard Business Review (in press).
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