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Publications

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  • All HBS Web  (759)
    • News  (222)
    • Research  (372)
    • Events  (12)
    • Multimedia  (8)
  • Faculty Publications  (293)

Show Results For

  • All HBS Web  (759)
    • News  (222)
    • Research  (372)
    • Events  (12)
    • Multimedia  (8)
  • Faculty Publications  (293)
← Page 4 of 759 Results →
  • 09 Aug 2022
  • Cold Call Podcast

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

Keywords: Re: Tsedal Neeley
  • 12 Oct 2021
  • News

AI Can Bring More Equity To The Workplace And Consumer Markets By Implementing These Conditions

  • 11 Feb 2020
  • Sharpening Your Skills

10 Rules Entrepreneurs Need to Know Before Adopting AI

for neural networks increase, as does accessibility to off-the-shelf APIs from big tech and academic institutions that help speed up innovation. Entrepreneurs have also learned the wisdom of targeting AI applications toward specific,... View Details
Keywords: by Rocio Wu

    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–February 2020
    • Article

    Competing in the Age of AI

    By: Marco Iansiti and Karim R. Lakhani
    Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the... View Details
    Keywords: Artificial Intelligence; Algorithms; Technological Innovation; Business Model; Competition; Competitive Strategy; AI and Machine Learning
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    Iansiti, Marco, and Karim R. Lakhani. "Competing in the Age of AI." Harvard Business Review 98, no. 1 (January–February 2020): 60–67.
    • 13 Dec 2019
    • News

    The AI Transparency Paradox

    • 24 May 2021
    • News

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

    • 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.)
    • 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).
    • 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.
    • 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.)
    • March 2024 (Revised June 2025)
    • 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 June 2025.)
    • 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.
    • 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
    • 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.)

      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

      • August 2019 (Revised March 2022)
      • Case

      Lemonade: Disrupting Insurance with Instant Everything, Killer Prices, and a Big Heart

      By: Elie Ofek and Danielle Golan
      Launching its first products in the fall of 2016 in New York, insurtech startup Lemonade was on a mission to disrupt the insurance market by using AI and behavioral economics principles. The company offered renters, homeowners, and condo insurance and mainly targeted... View Details
      Keywords: AI; Business Startups; Insurance; Technological Innovation; Business Model; Disruption; Brands and Branding; Growth and Development Strategy; Global Strategy; Decision Making; Insurance Industry; Technology Industry
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      Ofek, Elie, and Danielle Golan. "Lemonade: Disrupting Insurance with Instant Everything, Killer Prices, and a Big Heart." Harvard Business School Case 520-020, August 2019. (Revised March 2022.)
      • 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
      • 24 Oct 2023
      • Cold Call Podcast

      How the United States Air Force Accelerated AI Adoption

      Keywords: Re: Maria P. Roche
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