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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 4 of 776 Results →
  • 13 Dec 2019
  • News

The AI Transparency Paradox

  • November 2022 (Revised December 2024)
  • Case

Hugging Face (A): Serving AI on a Platform

By: Shane Greenstein, Daniel Yue, Sarah Gulick and Kerry Herman
It is fall 2022, and open-source AI model company Hugging Face is considering its three areas of priorities: platform development, supporting the open-source community, and pursuing cutting-edge scientific research. As it expands services for enterprise clients, which... View Details
Keywords: Community; Open-source; AI and Machine Learning; Product Development; Networks; Service Delivery; Research; Governance; Business and Stakeholder Relations; Information Industry; Technology Industry; United States
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Greenstein, Shane, Daniel Yue, Sarah Gulick, and Kerry Herman. "Hugging Face (A): Serving AI on a Platform." Harvard Business School Case 623-026, November 2022. (Revised December 2024.)
  • March 2024 (Revised March 2024)
  • Teaching Note

CoPilot(s): Generative AI at Microsoft and GitHub

By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
Keywords: Mergers and Acquisitions; AI and Machine Learning; Applications and Software; Technological Innovation; Product Launch; Open Source Distribution; Product Development; Commercialization; Competition; Resource Allocation; Technology Industry
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Nagle, Frank, and Maria P. Roche. "CoPilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Teaching Note 724-452, March 2024. (Revised March 2024.)

    The Uneven Impact of Generative AI on Entrepreneurial Performance

    There is a growing belief that scalable and low-cost AI assistance can improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it hard to generalize from recent studies showing that generative... View Details
    • January 2024 (Revised February 2024)
    • Case

    OpenAI: Idealism Meets Capitalism

    By: Shikhar Ghosh and Shweta Bagai
    In November 2023, the board of OpenAI, one of the most successful companies in the history of technology, decided to fire Sam Altman, its charismatic and influential CEO. Their decision shocked the corporate world and had people wondering why OpenAI had designed a... View Details
    Keywords: AI; AI and Machine Learning; Governing and Advisory Boards; Ethics; Strategy; Technological Innovation; Leadership
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    Ghosh, Shikhar, and Shweta Bagai. "OpenAI: Idealism Meets Capitalism." Harvard Business School Case 824-134, January 2024. (Revised February 2024.)
    • 27 Jun 2024
    • Research & Ideas

    Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge

    into favoring their own products by adding a carefully crafted short text sequence to online product descriptions. The study explores whether marketers “can game these models to get the answers that they are seeking to advantage their own... View Details
    Keywords: by Ben Rand; Technology
    • 04 Jun 2024
    • Research & Ideas

    Navigating Consumer Data Privacy in an AI World

    Opportunity: Customers’ Routines When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions How Humans Outshine AI in Adapting to Change Feedback or ideas to share? Email the Working... View Details
    Keywords: by Rachel Layne; Technology; Information Technology
    • 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
    • 2023
    • Book

    Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow

    By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
    This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
    Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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    Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
    • 24 May 2021
    • News

    White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?

    • 2025
    • Article

    Humor as a Window into Generative AI Bias

    By: Roger Samure, Julian De Freitas and Stefano Puntoni
    A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While... View Details
    Keywords: AI and Machine Learning; Demographics; Prejudice and Bias
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    Samure, Roger, Julian De Freitas, and Stefano Puntoni. "Humor as a Window into Generative AI Bias." Art. 1326. Scientific Reports 15 (2025).
    • 30 May 2024
    • Research & Ideas

    Racial Bias Might Be Infecting Patient Portals. Can AI Help?

    with thoughtful design, AI language models could help reduce biases in portals specifically and in health care generally. Such technology could reduce inequities by eliminating language nuances that may... View Details
    Keywords: by Ben Rand; Health
    • 01 Dec 2020
    • News

    AI Enhances Diagnostic Care

    performing pattern recognition, and planning and executing a course of action. At Misr Radiology Center (MRC) in Cairo, Egypt, where Doha Tantawy (MBA 2019) serves as chief operating officer (COO), AI has been fully integrated into all of... View Details
    Keywords: Jennifer Gillespie

      Competing in the Age of AI

      Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From... View Details

        A Lesson from Google: Can AI Bias be Monitored Internally?

        Dr. Timnit Gebru was the co-lead of Google’s Ethical AI research team – until she raised concerns about bias in the company’s large language models and was forced out in 2020.

        Her departure sent shockwaves through the AI and tech community and raised... View Details

        • October 2019
        • Case

        Feeling Machines: Emotion AI at Affectiva

        By: Shane Greenstein and John Masko
        In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details
        Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States
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        Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.
        • September 2023 (Revised April 2024)
        • Case

        Atomwise: Strategic Opportunities in AI for Pharma

        By: Satish Tadikonda
        Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
        Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry
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        Tadikonda, Satish. "Atomwise: Strategic Opportunities in AI for Pharma." Harvard Business School Case 824-043, September 2023. (Revised April 2024.)
        • 2024
        • Working Paper

        The Wade Test: Generative AI and CEO Communication

        By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
        Can generative artificial intelligence (Gen-AI) transform the role of the CEO? This study investigates whether Gen-AI can mimic a human CEO and whether employees display aversion to Gen-AI communication. We present a framework of Gen-AI aversion that distinguishes... View Details
        Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication
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        Choudhury, Prithwiraj, Bart S. Vanneste, and Amirhossein Zohrehvand. "The Wade Test: Generative AI and CEO Communication." Harvard Business School Working Paper, No. 25-008, August 2024. (Revised May 2025.)
        • 24 Oct 2023
        • Cold Call Podcast

        How the United States Air Force Accelerated AI Adoption

        Keywords: Re: Maria P. Roche
        • 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
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