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      • 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.
      • Working Paper

      AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance

      By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang
      Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details
      Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry
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      Exner, Yannick, Jochen Hartmann, Oded Netzer, and Shunyuan Zhang. "AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance." SSRN Working Paper Series, No. 5096969.
      • 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.
      • 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).
      • 2025
      • Working Paper

      CEO-Firm Matches and Productivity in 42 Countries

      By: Amanda Dahlstrand, Dávid László, Helena Schweiger, Oriana Bandiera, Andrea Prat and Raffaella Sadun
      Firms are key to economic development, and CEOs are key to firm productivity. Are firms in countries at varying stages of development led by the right CEOs, and if not, why? We develop a parsimonious measure of CEO time use that allows us to differentiate CEOs into... View Details
      Keywords: Training; Management Skills; Economic Growth; Leadership Development
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      Dahlstrand, Amanda, Dávid László, Helena Schweiger, Oriana Bandiera, Andrea Prat, and Raffaella Sadun. "CEO-Firm Matches and Productivity in 42 Countries." Harvard Business School Working Paper, No. 25-033, January 2025. (NBER Working Paper Series, No. 33324, January 2025.)
      • January 2025
      • Article

      Overcoming Barriers to Employee Ownership: Insights from Small and Medium-Sized Businesses

      By: John Guzek and Ashley Whillans
      This research investigates the limited adoption of employee stock ownership plans (ESOPs) among small-to-medium sized businesses (SMBs) in the U.S. Through interviews with 30 SMB owners across various industries, we identify the key barriers to ESOP adoption as lack of... View Details
      Keywords: Profit Sharing; Employee Ownership; Management Practices and Processes; Compensation and Benefits; Small Business; Adoption; Employees
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      Guzek, John, and Ashley Whillans. "Overcoming Barriers to Employee Ownership: Insights from Small and Medium-Sized Businesses." Compensation & Benefits Review 57, no. 1 (January 2025): 64–81.
      • January 2025
      • Article

      Reducing Prejudice with Counter-stereotypical AI

      By: Erik Hermann, Julian De Freitas and Stefano Puntoni
      Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
      Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
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      Hermann, Erik, Julian De Freitas, and Stefano Puntoni. "Reducing Prejudice with Counter-stereotypical AI." Consumer Psychology Review 8, no. 1 (January 2025): 75–86.
      • 2025
      • Article

      Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

      By: Kosuke Imai and Michael Lingzhi Li
      Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
      Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science
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      Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
      • 2025
      • Book

      Talk: The Science of Conversation and the Art of Being Ourselves

      By: Alison Wood Brooks
      We all struggle with difficult conversations, but we're often not very good at easy ones either. Though we do it all the time, conversation is one of the most complex, demanding, and delicate of all human tasks, rife with possibilities for misinterpretation and... View Details
      Keywords: Interpersonal Communication
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      Brooks, Alison Wood. Talk: The Science of Conversation and the Art of Being Ourselves. Crown, 2025.
      • January–February 2025
      • Article

      Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

      By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
      For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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      Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
      • December 2024 (Revised March 2025)
      • Case

      The Shouldice Hospital Today

      By: James Heskett and Roger Hallowell
      The leadership and staff of Shouldice Hospital in Toronto, Canada have, for 75 years, sought to do one thing better than any other hospital in the world, repair inguinal hernias. For some years, a possible second hospital in another market has been under consideration.... View Details
      Keywords: Joint Ventures; Health Care and Treatment; Growth and Development Strategy; Organizational Culture; Expansion; Health Industry; Toronto; Canada; United States
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      Heskett, James, and Roger Hallowell. "The Shouldice Hospital Today." Harvard Business School Case 925-302, December 2024. (Revised March 2025.)
      • 2025
      • Working Paper

      Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities

      By: Harsh Ketkar and Maria Roche
      The availability of financial resources significantly shapes firm innovation outcomes, especially for early-stage, innovation-focused technology firms. However, prior research has provided conflicting findings about this relationship: On the one hand, resource... View Details
      Keywords: Startups; Technology Strategy; Novelty; Unconventionality; Resource Constraints; Early Stage Firms; Business Startups; Technological Innovation; Entrepreneurial Finance
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      Ketkar, Harsh, and Maria Roche. "Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities." Harvard Business School Working Paper, No. 25-032, December 2024. (Revised February 2025.)
      • December 2024 (Revised March 2025)
      • Case

      WayCool: Addressing Food Loss

      By: Rajiv Lal and Kairavi Dey
      Headquartered in Chennai, India, WayCool started by focusing on solving the growing challenge of food losses and low farmer incomes. Dasari and Jayaraman, surprised at the amount of fruits and vegetables lost in the agricultural supply chain, set up the company with... View Details
      Keywords: Agribusiness; Entrepreneurship; Business Model; Food; Supply Chain; Loss; Expansion; Distribution Channels; Agriculture and Agribusiness Industry; Asia; India; Bangalore; Chennai
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      Lal, Rajiv, and Kairavi Dey. "WayCool: Addressing Food Loss." Harvard Business School Case 525-041, December 2024. (Revised March 2025.)
      • December 2024
      • Case

      Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey

      By: Shikhar Ghosh
      In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
      Keywords: Blue Cross; Automation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Organizational Transformations; Technology; Non-profit; AI and Machine Learning; Health; Digital Strategy; Digital Transformation; Leadership; Technology Adoption; Job Cuts and Outsourcing; Innovation Strategy; Health Industry; Insurance Industry; Michigan
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      Ghosh, Shikhar. "Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey." Harvard Business School Case 825-082, December 2024.
      • 2024
      • Working Paper

      Charting (and Updating) the Path: A Bayesian Perspective on Entrepreneurial Learning

      By: Joshua L. Krieger
      This chapter explores two distinct modes of entrepreneurial learning: assessing venture viability and choosing between alternative development paths. It introduces a framework for decomposing venture viability into technological feasibility, commercial potential and... View Details
      Keywords: Decision Making; Entrepreneurship; Growth and Development Strategy; Learning
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      Krieger, Joshua L. "Charting (and Updating) the Path: A Bayesian Perspective on Entrepreneurial Learning." Harvard Business School Working Paper, No. 25-031, December 2024.
      • 2024
      • Working Paper

      Displacement or Complementarity? The Labor Market Impact of Generative AI

      By: Wilbur Xinyuan Chen, Suraj Srinivasan and Saleh Zakerinia
      Generative AI is poised to reshape the labor market, affecting cognitive and white-collar occupations in ways distinct from past technological revolutions. This study examines whether generative AI displaces workers or augments their jobs by analyzing labor demand and... View Details
      Keywords: Generative Ai; Labor Market; Automation And Augmentation; Labor; AI and Machine Learning; Competency and Skills
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      Chen, Wilbur Xinyuan, Suraj Srinivasan, and Saleh Zakerinia. "Displacement or Complementarity? The Labor Market Impact of Generative AI." Harvard Business School Working Paper, No. 25-039, December 2024.
      • 2024
      • Other Teaching and Training Material

      Earth

      By: Barry Nalebuff and Max Bazerman
      Earth was created to provide participants with the opportunity to negotiate a solution to the most important environmental challenge that faces humanity — climate change. Just as finding solutions to climate change is challenging, students will be challenged to find a... View Details
      Keywords: Climate Change; Outcome or Result; Negotiation; Game Theory
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      Nalebuff, Barry, and Max Bazerman. "Earth." Kellogg School of Management at Northwestern University, Dispute Resolution Research Center, 2024. Multimedia. (Simulation.)
      • 2024
      • Book

      The Fading Light of Democratic Capitalism: How Pervasive Cronyism and Restricted Suffrage Are Destroying Democratic Capitalism as a National Ideal ... And What to Do About It

      By: Malcolm S. Salter
      What are we to do about declining public trust and confidence in democratic capitalism, which many citizens consider a cornerstone of our national ideology and identity? In this book, I address how we can rekindle the fading light of democratic capitalism as an... View Details
      Keywords: Government and Politics; Power and Influence; Economic Systems; Culture
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      Salter, Malcolm S. The Fading Light of Democratic Capitalism: How Pervasive Cronyism and Restricted Suffrage Are Destroying Democratic Capitalism as a National Ideal ... And What to Do About It. Cambridge Elements, Elements in Reinventing Capitalism. Cambridge University Press, 2024.
      • 2025
      • Working Paper

      Why Most Resist AI Companions

      By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
      AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... 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 May 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.
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