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      • December 2023
      • Article

      Self-Orienting in Human and Machine Learning

      By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
      A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details
      Keywords: AI and Machine Learning; Behavior; Learning
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      De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
      • 2023
      • Article

      Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

      By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
      One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
      Keywords: AI and Machine Learning; Mathematical Methods
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      Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • November 2023
      • Case

      Apple Inc. in 2023

      By: David B. Yoffie and Sarah von Bargen
      Under CEO Tim Cook, Apple became the first trillion dollar market cap company, the first two trillion dollar company, and the first three trillion dollar company. Since the COVID pandemic, Apple gained over 20% of the world smartphone market and 50% of the U.S. market,... View Details
      Keywords: Competitive Advantage; Product Positioning; Emerging Markets; Competitive Strategy; Technological Innovation; Revenue; Technology Industry
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      Yoffie, David B., and Sarah von Bargen. "Apple Inc. in 2023." Harvard Business School Case 724-419, November 2023.
      • November–December 2023
      • Article

      Look the Part? The Role of Profile Pictures in Online Labor Markets

      By: Isamar Troncoso and Lan Luo
      Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"... View Details
      Keywords: Freelancers; Gig Workers; Demographics; Prejudice and Bias; Selection and Staffing; Jobs and Positions; Analytics and Data Science
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      Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
      • October 2023
      • Teaching Note

      Metaverse Wars

      By: Andy Wu and Matt Higgins
      Teaching Note for HBS Case No. 723-431. Metaverse Wars recaps the development of the metaverse concept and the attendant hype, bringing the narrative up to the summer of 2023 when Meta’s big pivot looked more like a costly misstep than a stroke of strategic genius. In... View Details
      Keywords: Metaverse; Strategy; Social Media; Internet and the Web; Technology Adoption; Technological Innovation; Technology Industry
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      Wu, Andy, and Matt Higgins. "Metaverse Wars." Harvard Business School Teaching Note 724-400, October 2023.
      • October 2023
      • Teaching Note

      Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

      By: Tsedal Neeley and Tim Englehart
      Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details
      Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry
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      Neeley, Tsedal, and Tim Englehart. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Teaching Note 424-028, October 2023.
      • 2023
      • Working Paper

      In-Context Unlearning: Language Models as Few Shot Unlearners

      By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
      Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details
      Keywords: AI and Machine Learning; Copyright; Information
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      Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
      • October 2023
      • Article

      Product Variety, the Cost of Living, and Welfare Across Countries

      By: Alberto Cavallo, Robert C. Feenstra and Robert Inklaar
      We use the structure of the Melitz (2003) model to compute the cost of living and welfare across 47 countries, and compare these to conventional measures of prices and real consumption from the International Comparisons Project (ICP). The cost of living is inferred... View Details
      Keywords: Macroeconomics; Trade
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      Cavallo, Alberto, Robert C. Feenstra, and Robert Inklaar. "Product Variety, the Cost of Living, and Welfare Across Countries." American Economic Journal: Macroeconomics 15, no. 4 (October 2023): 40–66.
      • 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.)
      • September 2023
      • Article

      Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology

      By: Prithwiraj Choudhury, Ina Ganguli and Patrick Gaulé
      We study migration in the right tail of the talent distribution using a novel dataset of Indian high school students taking the Joint Entrance Exam (JEE), a college entrance exam used for admission to the prestigious Indian Institutes of Technology (IIT). We find a... View Details
      Keywords: Higher Education; Immigration; Talent and Talent Management; India
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      Choudhury, Prithwiraj, Ina Ganguli, and Patrick Gaulé. "Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology." Art. 103120. Journal of Development Economics 164 (September 2023).
      • 2023
      • Working Paper

      Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate

      By: Mengxia Zhang and Isamar Troncoso
      3D virtual tours (VTs) have become a popular digital tool in real estate platforms, enabling potential buyers to virtually walk through the houses they search for online. In this paper, we study home sellers’ adoption of VTs and the VTs’ relative benefits compared to... View Details
      Keywords: Marketing; AI and Machine Learning; Technology Adoption; Real Estate Industry
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      Zhang, Mengxia, and Isamar Troncoso. "Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate." Harvard Business School Working Paper, No. 24-003, July 2023.
      • July 2023 (Revised July 2023)
      • Background Note

      Generative AI Value Chain

      By: Andy Wu and Matt Higgins
      Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
      Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
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      Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
      • June 2023 (Revised April 2025)
      • Case

      Optimalen Capital

      By: Malcolm Baker, Elisabeth Kempf and Jonathan Wallen
      A new client portfolio manager at a quantitative investment management firm must explain why her firm, Optimalen Capital, has rebalanced a client portfolio with a set of trades that seem unintuitive. In particular, Optimalen has added to its position of Walmart (ticker... View Details
      Keywords: Investments; CAPM; Capital Asset Pricing Model; Investment Portfolio; Asset Pricing
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      Baker, Malcolm, Elisabeth Kempf, and Jonathan Wallen. "Optimalen Capital." Harvard Business School Case 223-099, June 2023. (Revised April 2025.)
      • June 2023 (Revised March 2024)
      • Case

      Creating World-Class Board Governance at SECO

      By: Krishna G. Palepu and Emer Moloney
      In Spring 2023, SECO CEO Massimo Mauri had the ambition to grow the €200 million revenue technology company to a €1 billion company by 2030. Founded in Italy in the 1970s, the family-owned company had gone through a period of growth and internationalization,... View Details
      Keywords: Family Business; Business Model; Acquisition; Business Growth and Maturation; Talent and Talent Management; Customer Focus and Relationships; Engineering; Governance; Corporate Governance; Governing and Advisory Boards; Growth and Development Strategy; Compensation and Benefits; Retention; Innovation and Invention; Technological Innovation; Going Public; Strategic Planning; Business and Shareholder Relations; Business Strategy; Information Infrastructure; Information Technology; Value Creation; Organizational Change and Adaptation; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Italy; Europe; Germany; United States; China
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      Palepu, Krishna G., and Emer Moloney. "Creating World-Class Board Governance at SECO." Harvard Business School Case 123-082, June 2023. (Revised March 2024.)
      • April 2023 (Revised February 2024)
      • Case

      AI Wars

      By: Andy Wu, Matt Higgins, Miaomiao Zhang and Hang Jiang
      In February 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI. Over a year ago, OpenAI released ChatGPT, a... View Details
      Keywords: AI; Artificial Intelligence; AI and Machine Learning; Technology Adoption; Competitive Strategy; Technological Innovation
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      Wu, Andy, Matt Higgins, Miaomiao Zhang, and Hang Jiang. "AI Wars." Harvard Business School Case 723-434, April 2023. (Revised February 2024.)
      • April 2023 (Revised September 2023)
      • Case

      Levels: The Remote, Asynchronous, Deep Work Management System

      By: Joseph B. Fuller and George Gonzalez
      Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
      Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
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      Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
      • 2023
      • Book

      Deeply Responsible Business: A Global History of Values-Driven Leadership

      By: Geoffrey Jones
      Corporate social responsibility has entered the mainstream, but what does it take to run a successful purpose-driven business? This book examines leaders who put values alongside profits to showcase the challenges and upside of deeply responsible business. Should... View Details
      Keywords: Corporate Responsibility; Business Ecuation; Socially Responsible Investing; Business Education; Ethics; Leadership; Business History; Philanthropy and Charitable Giving; Religion; Social Enterprise; Social Issues; Wealth and Poverty; Corporate Social Responsibility and Impact; Mission and Purpose; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; United Kingdom; Germany; United States; Japan; India; Latin America
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      Jones, Geoffrey. Deeply Responsible Business: A Global History of Values-Driven Leadership. Cambridge, MA: Harvard University Press, 2023.
      • 2023
      • Chapter

      Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

      By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
      he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
      Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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      Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
      • March, 2023
      • Article

      Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes

      By: Maria P. Roche
      The transfer of complex knowledge and skills is difficult, often requiring intensive interaction and extensive periods of co-working between a mentor and mentee, which is particularly true in apprenticeship-like settings and on-the-job training. This paper studies a... View Details
      Keywords: Entrepreneurship; Higher Education; Training; Personal Development and Career; Knowledge Dissemination
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      Roche, Maria P. "Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes." Organization Science 34, no. 2 (March, 2023): 959–986.
      • 2023
      • Working Paper

      Complexity and Time

      By: Benjamin Enke, Thomas Graeber and Ryan Oprea
      We provide experimental evidence that core intertemporal choice anomalies -- including extreme short-run impatience, structural estimates of present bias, hyperbolicity and transitivity violations -- are driven by complexity rather than time or risk preferences. First,... View Details
      Keywords: Decision Choices and Conditions; Motivation and Incentives
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      Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Time." NBER Working Paper Series, No. 31047, March 2023.
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