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  • All HBS Web  (840)
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    • Research  (354)
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  • All HBS Web  (840)
    • News  (216)
    • Research  (354)
    • Events  (12)
    • Multimedia  (8)
  • Faculty Publications  (282)
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  • 09 Jan 2020
  • Book

Rethinking Business Strategy in the Age of AI

work? Iansiti: Netflix has been using AI for many years in a lot of different ways, for example, by learning how people choose movies according to the thumbprint picture that appears on the Netflix service.... View Details
Keywords: by Dina Gerdeman
  • 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
  • 07 Mar 2023
  • HBS Case

ChatGPT: Did Big Tech Set Up the World for an AI Bias Disaster?

beyond—about the importance of listening to voices urging caution, even if doing so might cool corporate profits. An early tech star reveals bias in AI In May 2022, Neeley and HBS research associate Stefani Ruper shined a spotlight on the... View Details
Keywords: by Scott Van Voorhis; Technology
  • 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.
  • 09 Aug 2022
  • Cold Call Podcast

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

Keywords: Re: Tsedal Neeley
  • 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.)
  • 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
  • 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).
  • 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.)
  • 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.)
  • 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.
  • 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.)
  • 22 Nov 2023
  • Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

performance the biggest boost. AI helped lift the lower-end group’s performance by 43 percent compared to previous scores. For top-rated performers, that figure was 17 percent. “There's still a skill... View Details
Keywords: by Rachel Layne; Information Technology; 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
  • 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
  • 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.)
  • 24 Oct 2023
  • Cold Call Podcast

How the United States Air Force Accelerated AI Adoption

Keywords: Re: Maria P. Roche
  • 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
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