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      • Faculty Publications  (182)

      Artificial IntelligenceRemove Artificial Intelligence →

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      • May 2025
      • Teaching Note

      The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation

      By: Tsedal Neeley
      Teaching Note for HBS Case No. 425-720. Florian Hillen, co-founder and CEO of VideaHealth, a startup using artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. This AI factory,... View Details
      Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technological Innovation; Technology Adoption; Disruptive Innovation; Management Style; Organizational Culture; Success; Adoption; Technology Industry; Health Industry; United States
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      Neeley, Tsedal. "The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation." Harvard Business School Teaching Note 425-102, May 2025.
      • April 2025
      • Background Note

      Climate Change Adaptation with Artificial Intelligence and Machine Learning

      By: Michael W. Toffel and Nabig Chaudhry
      Artificial Intelligence (AI) and machine learning (ML) have emerged as powerful tools to address climate change. This note summarizes a wide range of the uses of AI/ML to drive climate change adaptation and resilience, the measures organizations and governments are... View Details
      Keywords: Climate Change; Adaptation
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      Toffel, Michael W., and Nabig Chaudhry. "Climate Change Adaptation with Artificial Intelligence and Machine Learning." Harvard Business School Background Note 625-050, April 2025.
      • April 2025
      • Case

      Lisa Su and AMD (A)

      By: Joshua D. Margolis, Matthew Preble and Dave Habeeb
      This multimedia case study focuses on CEO Lisa Su’s turnaround and subsequent transformation of the technology company Advanced Micro Devices, Inc. (AMD). When Su accepted the top position in 2014, AMD was on the verge of collapse. Su focused the company’s culture,... View Details
      Keywords: Turnaround; Artificial Intelligence; Semiconductors; Change Management; Transformation; Decision Making; Globalized Markets and Industries; Government and Politics; AI and Machine Learning; Innovation and Management; Innovation Strategy; Innovation Leadership; Leadership; Leadership Style; Leading Change; Management; Product Design; Product Development; Organizational Change and Adaptation; Organizational Culture; Organizational Design; Strategic Planning; Business and Shareholder Relations; Business and Stakeholder Relations; Research and Development; Business Strategy; Competitive Strategy; Competitive Advantage; Corporate Strategy; Semiconductor Industry; Computer Industry; United States; California; Texas
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      Margolis, Joshua D., Matthew Preble, and Dave Habeeb. "Lisa Su and AMD (A)." Harvard Business School Multimedia/Video Case 425-704, April 2025.
      • April 2025
      • Supplement

      Lisa Su and AMD (B)

      By: Joshua D. Margolis, Matthew Preble and Dave Habeeb
      This multimedia case study focuses on CEO Lisa Su’s turnaround and subsequent transformation of the technology company Advanced Micro Devices, Inc. (AMD). When Su accepted the top position in 2014, AMD was on the verge of collapse. Su focused the company’s culture,... View Details
      Keywords: Leadership; Turnaround; Transformation; Semiconductors; Artificial Intelligence; Semiconductor Industry; Computer Industry; United States; California; Texas
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      Margolis, Joshua D., Matthew Preble, and Dave Habeeb. "Lisa Su and AMD (B)." Harvard Business School Supplement 425-705, April 2025.
      • 2025
      • Working Paper

      The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

      By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani
      We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company.... View Details
      Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment; AI and Machine Learning; Groups and Teams; Competency and Skills; Performance Productivity; Collaborative Innovation and Invention; Product Development
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      Dell'Acqua, Fabrizio, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub, and Karim R. Lakhani. "The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise." Harvard Business School Working Paper, No. 25-043, March 2025.
      • January 2025
      • Case

      Summer Health: Raising an AI-First Company?

      By: Jeffrey J. Bussgang, Sarah Mehta and Maxim Pike Harrell
      In October 2023, Summer Health CEO Ellen DaSilva arrived at a defining juncture for her pediatric telehealth startup. Founded in 2021, Summer Health offered parents rapid access to licensed pediatricians via text message. DaSilva, an experienced telehealth executive,... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Entrepreneurship; Leadership; Business Startups; Health Care and Treatment; Business Strategy; Health Industry; Telecommunications Industry; United States
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      Bussgang, Jeffrey J., Sarah Mehta, and Maxim Pike Harrell. "Summer Health: Raising an AI-First Company?" Harvard Business School Case 825-083, January 2025.
      • 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.
      • January 2025
      • Case

      Moderna: Democratizing Artificial Intelligence

      By: Iavor I. Bojinov, Karim R. Lakhani, Annika Hildebrandt and James Weber
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      Bojinov, Iavor I., Karim R. Lakhani, Annika Hildebrandt, and James Weber. "Moderna: Democratizing Artificial Intelligence." Harvard Business School Case 625-070, January 2025.
      • 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.
      • January 2025
      • Case

      The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (A)

      By: Tsedal Neeley, Levi Stroud, Ruth Page and Dave Habeeb
      Pre-abstract: This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the (B) Case videos available to students, as they may reveal key case details.

      Abstract: Florian Hillen, co-founder... View Details
      Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States
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      Neeley, Tsedal, Levi Stroud, Ruth Page, and Dave Habeeb. "The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (A)." Harvard Business School Multimedia/Video Case 425-720, January 2025.
      • January 2025
      • Supplement

      The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (B)

      By: Tsedal Neeley, Levi Stroud, Ruth Page and Dave Habeeb
      Pre-abstract: This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the (B) Case videos available to students, as they may reveal key case details.

      Abstract: Florian Hillen, co-founder... View Details
      Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States
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      Neeley, Tsedal, Levi Stroud, Ruth Page, and Dave Habeeb. "The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (B)." Harvard Business School Multimedia/Video Supplement 425-721, January 2025.
      • December 18, 2024
      • Article

      Is AI the Right Tool to Solve That Problem?

      By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne
      While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details
      Keywords: Artificial Intelligence; AI and Machine Learning; Problems and Challenges
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      Cervini, Paolo, Chiara Farronato, Pushmeet Kohli, and Marshall W Van Alstyne. "Is AI the Right Tool to Solve That Problem?" Harvard Business Review (website) (December 18, 2024).
      • December 2024 (Revised January 2025)
      • Technical Note

      A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)

      By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney
      A note on the vocabulary, evolution, and impact of AI. View Details
      Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry
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      Greenstein, Shane, Nathaniel Lovin, Scott Wallsten, Kerry Herman, and Susan Pinckney. "A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)." Harvard Business School Technical Note 625-039, December 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      Why Most Resist AI Companions

      By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
      Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details
      Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
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      De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised January 2025.)
      • November 2024
      • Case

      AlphaGo (A): Birth of a New Intelligence

      By: Shikhar Ghosh and Shweta Bagai
      This case, the first of a three-part series, traces DeepMind's evolution from its 2010 founding through its acquisition by Google in 2014. Often referred to as the "Apollo project" of artificial intelligence, DeepMind used games as a testing ground to develop AI... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Games, Gaming, and Gambling; Technological Innovation; Creativity; Technology Industry; South Korea; China; United States
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      Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (A): Birth of a New Intelligence." Harvard Business School Case 825-073, November 2024.
      • November 2024 (Revised January 2025)
      • Case

      MiDAS: Automating Unemployment Benefits

      By: Shikhar Ghosh and Shweta Bagai
      In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
      Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
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      Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
      • November 2024
      • Background Note

      Nonprofit Governance: Some Basics

      By: Lynn S. Paine and Will Hurwitz
      This background note discusses basics about the prevalence, purpose, and unique legal, governance and regulatory dynamics of nonprofits and their boards of directors. The note describes both similarities and differences between for-profit and non-profit governance,... View Details
      Keywords: Corporate Governance; Leadership; Mission and Purpose; Nonprofit Organizations; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; United States
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      Paine, Lynn S., and Will Hurwitz. "Nonprofit Governance: Some Basics." Harvard Business School Background Note 325-067, November 2024.
      • November 2024
      • Case

      Ather Energy: The Future of Mobility

      By: Shunyuan Zhang, Kannan Srinivasan and Malini Sen
      Ather Energy, India’s third-largest electric scooter maker by volume, was founded in 2013. Five years later, the start-up launched its first electric scooter, Ather 450, which was powered by artificial intelligence (AI) and the Internet of Things (IoT), to navigate... View Details
      Keywords: Energy Policy; Climate Change; Alternative Energy; Corporate Entrepreneurship; Transportation; Transformation; Green Technology; Technology Adoption; Communication Strategy; Marketing Strategy; Customer Focus and Relationships; Asia; India
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      Zhang, Shunyuan, Kannan Srinivasan, and Malini Sen. "Ather Energy: The Future of Mobility." Harvard Business School Case 525-040, November 2024.
      • 2025
      • Working Paper

      Generative AI and the Nature of Work

      By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
      Recent advances in artificial intelligence (AI) technology demonstrate a considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid... View Details
      Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
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      Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024. (Revised April 2025.)
      • September–October 2024
      • Article

      The Crowdless Future? Generative AI and Creative Problem-Solving

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
      Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
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