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    • News  (156)
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Show Results For

  • All HBS Web  (959)
    • People  (1)
    • News  (156)
    • Research  (642)
    • Events  (13)
    • Multimedia  (3)
  • Faculty Publications  (546)
← Page 32 of 959 Results →
  • September 17, 2021
  • Article

AI Can Help Address Inequity—If Companies Earn Users' Trust

By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details
Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning
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Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
  • 2024
  • Working Paper

Old Moats for New Models: Openness, Control, and Competition in Generative AI

By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj
Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated... View Details
Keywords: Technological Innovation; AI and Machine Learning; Open Source Distribution; Policy
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Azoulay, Pierre, Joshua L. Krieger, and Abhishek Nagaraj. "Old Moats for New Models: Openness, Control, and Competition in Generative AI." NBER Working Paper Series, No. 7442, May 2024.
  • July 2024
  • Article

Chatbots and Mental Health: Insights into the Safety of Generative AI

By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
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De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
  • September 2023
  • Case

Ada: Cultivating Investors

By: Reza Satchu and Patrick Sanguineti
Mike Murchison, co-founder and CEO of Ada, has an enviable dilemma. Launched in 2016 by Murchison and his co-founder David Hariri, Ada is an AI-native company that aims to revolutionize how businesses approach customer service. The company has already attracted a buzz,... View Details
Keywords: Founder; Fundraising; Business Startups; Decisions; Entrepreneurship; Venture Capital; AI and Machine Learning; Technology Industry
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Satchu, Reza, and Patrick Sanguineti. "Ada: Cultivating Investors." Harvard Business School Case 824-090, September 2023.
  • 29 Sep 2020
  • Blog Post

New Life for Old Tech: Startup Provides Network Security Solutions for Obsolete Devices

device-specific representation of each device on the network, and our generalizable machine learning approach and software-based installation allows us to scale to all legacy and modern devices.” For Breen,... View Details
  • 2025
  • Working Paper

Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships

By: Julian De Freitas, Noah Castelo, Ahmet Kaan Uğuralp and Zeliha Oğuz-Uğuralp
As consumers increasingly interact with AI applications specialized for social relationships, what is the nature and depth of these relationships among actual users, and can company actions influence these dynamics? We find that active users of the US-based AI... View Details
Keywords: AI and Machine Learning; Welfare; Loss; Well-being; Identity; Perception; Relationships
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De Freitas, Julian, Noah Castelo, Ahmet Kaan Uğuralp, and Zeliha Oğuz-Uğuralp. "Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships." Harvard Business School Working Paper, No. 25-018, October 2024. (Revised May 2025.)
  • Web

Data Tips & Toolkits - Research Computing Services

popular platform provides automatic text captioning of the audio uploaded onto YouTube. Watson speech-to-text API : a machine learning API that can transcribe audio files into text, among other capabilities.... View Details
  • July–August 2025
  • 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 103, no. 4 (July–August 2025): 126–133.
  • 2023
  • Article

Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
  • January 2025
  • Teaching Note

AGENTS.inc: Pathways to Growth at an AI Startup

By: Frank Nagle and Susan Pinckney
Teaching Note for HBS Case No. 724-444. In 2024, AI agent startup company AGENTS.inc faced multiple strategic decisions that could shape the company’s ability to grow into the future AI agent market leader. View Details
Keywords: Business Startups; AI and Machine Learning; Growth and Development Strategy; Open Source Distribution; Entrepreneurial Finance; Competition; Computer Industry; Technology Industry; Europe; Germany
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Nagle, Frank, and Susan Pinckney. "AGENTS.inc: Pathways to Growth at an AI Startup." Harvard Business School Teaching Note 725-353, January 2025.
  • October 2023
  • Case

Fixie and Conversational AI Sidekicks

By: Jeffrey J. Bussgang and Carin-Isabel Knoop
In March 2023, Fixie Co-Founder and Chief Architect Matt Welsh and co-founders had the kind of meeting no founders want to have. The president of leading artificial intelligence (AI) research and deployment firm OpenAI, which had catapulted into fame with its ChatGPT... View Details
Keywords: Large Language Model; Entrepreneurship; Decision Choices and Conditions; AI and Machine Learning; Technological Innovation; Competitive Strategy; Technology Industry; United States
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Bussgang, Jeffrey J., and Carin-Isabel Knoop. "Fixie and Conversational AI Sidekicks." Harvard Business School Case 824-037, October 2023.
  • September–October 2024
  • Article

How AI Can Power Brand Management

By: Julian De Freitas and Elie Ofek
Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details
Keywords: Creativity; AI and Machine Learning; Brands and Branding; Product Positioning; Customer Focus and Relationships
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De Freitas, Julian, and Elie Ofek. "How AI Can Power Brand Management." Harvard Business Review 102, no. 5 (September–October 2024): 108–114.
  • March 2024 (Revised April 2025)
  • Case

TELEXISTENCE Inc.

By: Paul A. Gompers and Akiko Saito
A case about a Japanese robotics startup aiming to enter the U.S. market with its robots that combine AI and human intervention to complete restocking tasks in retail stores. View Details
Keywords: Business Startups; Entrepreneurship; Market Entry and Exit; Technology Adoption; Decisions; AI and Machine Learning; Retail Industry; Technology Industry; Japan; United States
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Gompers, Paul A., and Akiko Saito. "TELEXISTENCE Inc." Harvard Business School Case 224-031, March 2024. (Revised April 2025.)
  • February 2024
  • Case

SundaySky: Changing Customer Experiences through Personalized Video

By: David C. Edelman and James Barnett
In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative... View Details
Keywords: Advertising; Strategy; Technology Adoption; AI and Machine Learning; Applications and Software; Growth and Development Strategy; Advertising Industry; Technology Industry; United States
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Edelman, David C., and James Barnett. "SundaySky: Changing Customer Experiences through Personalized Video." Harvard Business School Case 524-013, February 2024.
  • September 2024 (Revised January 2025)
  • Exercise

Building an AI First Snack Company: A Hands-on Generative AI Exercise

By: Iavor I. Bojinov
Although the term 'Generative AI' (GenAI) is widely recognized, its practical application in daily workflows has yet to be understood. This exercise introduces students to GenAI tools, demonstrating how they can be seamlessly integrated into professional work practices... View Details
Keywords: AI and Machine Learning; Technology Adoption; Marketing Strategy; Product Launch; Brands and Branding
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Bojinov, Iavor I. "Building an AI First Snack Company: A Hands-on Generative AI Exercise." Harvard Business School Exercise 625-052, September 2024. (Revised January 2025.)
  • March 2023
  • Teaching Note

VideaHealth: Building the AI Factory

By: Karim R. Lakhani
Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian... View Details
Keywords: AI and Machine Learning; Applications and Software; Business Model; Marketing Strategy; Product Development; Health Industry; Technology Industry
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Lakhani, Karim R. "VideaHealth: Building the AI Factory." Harvard Business School Teaching Note 623-073, March 2023.
  • 2025
  • Working Paper

Global Evidence on Gender Gaps and Generative AI

By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details
Keywords: AI and Machine Learning; Gender; Equality and Inequality; Technology Adoption; Behavior
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Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024. (Revised January 2025.)
  • April 2025
  • Case

Breezm: Innovative 3D-Printed Eyewear (A)

By: Juan Alcácer, Brian Mao Fu and Adina Wong
In 2023, Breezm, a South Korean startup, faced a strategic decision about how to grow its innovative 3D-printed, custom-fit eyewear business. Co-founded in 2017 by Zenma Park and Wooseok Sung, Breezm combined facial scanning, AI, and in-house production to solve the... View Details
Keywords: 3D Printing; Eyeyewear; Growth; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Risk and Uncertainty; Expansion; South Korea
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Alcácer, Juan, Brian Mao Fu, and Adina Wong. "Breezm: Innovative 3D-Printed Eyewear (A)." Harvard Business School Case 725-376, April 2025.
  • 2024
  • Working Paper

Climate Solutions, Transition Risk, and Stock Returns

By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets
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Lu, Shirley, Edward J. Riedl, Simon Xu, and George Serafeim. "Climate Solutions, Transition Risk, and Stock Returns." Harvard Business School Working Paper, No. 25-024, November 2024.
  • October 2023 (Revised January 2025)
  • Case

Sydney Loves Kevin

By: Ryan W. Buell and Himabindu Lakkaraju
Kevin Roose was a columnist and podcast host for the New York Times, who focused on technology and its effects on society. When Microsoft launched the latest version of its search engine Bing in February 2023, the company invited Roose to its Redmond campus to... View Details
Keywords: Newspapers; AI and Machine Learning; Technology Adoption; Technological Innovation; Perspective; Media and Broadcasting Industry; Technology Industry
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Buell, Ryan W., and Himabindu Lakkaraju. "Sydney Loves Kevin." Harvard Business School Case 624-039, October 2023. (Revised January 2025.)
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