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  • All HBS Web  (761)
    • News  (222)
    • Research  (373)
    • Events  (12)
    • Multimedia  (8)
  • Faculty Publications  (295)

Show Results For

  • All HBS Web  (761)
    • News  (222)
    • Research  (373)
    • Events  (12)
    • Multimedia  (8)
  • Faculty Publications  (295)
← Page 5 of 761 Results →
  • 2025
  • Working Paper

Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details
Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)

    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

    • 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
    • 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.)
    • 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.)
    • 22 Feb 2024
    • Research & Ideas

    How to Make AI 'Forget' All the Private Data It Shouldn't Have

    There’s a virtual elephant in AI’s room: It’s nearly impossible to make the technology forget. And there are an increasing number of scenarios where consumers and programmers may not only want to remove data from a machine learning model—they may be required to do so... 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
    • Blog

    Is AI Coming for Your Job?

    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 falling behind.... View Details
    • 24 May 2021
    • News

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

    • January 2025
    • Case

    AI Meets VC: The Data-Driven Revolution at Quantum Light Capital

    By: Lauren Cohen, Grace Headinger and Sophia Pan
    Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
    Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
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    Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.
    • 15 Nov 2018
    • News

    Don’t Be Afraid of AI

    the founding CEO of Palm and the cofounder of Handspring, ushering in two of the tech ages biggest leaps—handheld computing, and the smart phone. So, she's essentially been famously successful by being right about the future. We sat down... View Details
    Keywords: Computer Systems Design and Related Services; Professional Services
    • Web

    Marketing AI Guidelines | About

    customer service. Drafting marketing plans and creative briefs. Citing the Use of AI To ensure the authenticity of the content we produce, it is important to be transparent about the use of AI. Original images (e.g. illustrations, data... View Details
    • 01 Jun 2024
    • News

    Competing in the Age of AI

    Above: Karim Lakhani discussed GenAI with alumni during his presentation at When Professor Karim Lakhani leads discussions about generative artificial intelligence (GenAI), he often begins by asking audience members to stand if they’ve... View Details
    Keywords: April White
    • January 2025
    • Technical Note

    AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

    By: Tsedal Neeley and Tim Englehart
    This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
    Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
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    Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
    • 11 Jan 2017
    • Research & Ideas

    The Paradoxical Quest to Make Food Look 'Natural' With Artificial Dyes

    Storie-Johnson “Today, we tend to view color as an ingredient,” says Ai Hisano, the Harvard-Newcomen Fellow in Business History at Harvard Business School. Hisano is author of the HBS working paper,... View Details
    Keywords: by Carmen Nobel
    • December 2023 (Revised August 2024)
    • Case

    Monsters in the Machine? Tackling the Challenge of Responsible AI

    By: Paul M. Healy and Debora L. Spar
    In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
    Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
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    Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
    • 13 Nov 2019
    • Research & Ideas

    Don't Turn Your Marketing Function Over to AI Just Yet

    customers on the brand? Amano points out that the benefits of personalized marketing are often overshadowed by the creepiness factor. “There definitely are a bunch of benefits that we reap from the fact that firms and governments have... View Details
    Keywords: by Kristen Senz
    • 25 Apr 2022
    • Video

    Winning the War of the Future: Cyber, Disinformation, and AI

    • 2023
    • Working Paper

    Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

    By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
    The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
    Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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    Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
    • November 2024 (Revised April 2025)
    • Case

    Cheerful Music

    By: Shunyuan Zhang, Feng Zhu and Nancy Hua Dai
    Established by Snow Jiang in 2019 in Shenzhen, China, Cheerful Music was a record label company that had created many hit songs in China. “Yi Xiao Jiang Hu,” its most famous hit song, gained billions of views on social media platforms in China and overseas as the... View Details
    Keywords: Generative Ai; Music Entertainment; Global Strategy; Business Model; AI and Machine Learning; Market Entry and Exit; Music Industry; China; United Kingdom; London
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    Zhang, Shunyuan, Feng Zhu, and Nancy Hua Dai. "Cheerful Music." Harvard Business School Case 525-031, November 2024. (Revised April 2025.)
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