Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (1,266) Arrow Down
Filter Results: (1,266) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (4,159)
    • Faculty Publications  (1,266)

    Show Results For

    • All HBS Web  (4,159)
      • Faculty Publications  (1,266)

      Theory Of MachineRemove Theory Of Machine →

      ← Page 10 of 1,266 Results →

      Are you looking for?

      →Search All HBS Web
      • 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
      Citation
      Find at Harvard
      Read Now
      Purchase
      Related
      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
      • Other Article

      The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

      By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
      Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
      Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
      Citation
      Read Now
      Related
      Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
      • 2024
      • Working Paper

      The Uneven Impact of Generative AI on Entrepreneurial Performance

      By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
      Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
      Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
      Citation
      SSRN
      Read Now
      Related
      Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
      • 2023
      • Article

      Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability

      By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
      With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to... View Details
      Keywords: AI and Machine Learning; Mathematical Methods
      Citation
      Read Now
      Related
      Bhalla, Usha, Suraj Srinivas, and Himabindu Lakkaraju. "Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • 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
      Citation
      Read Now
      Related
      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

      Open Source Machine Learning at Google

      By: Shane Greenstein, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue and James Barnett
      Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts... View Details
      Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States
      Citation
      Educators
      Purchase
      Related
      Greenstein, Shane, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue, and James Barnett. "Open Source Machine Learning at Google." Harvard Business School Case 624-015, November 2023.
      • November 2023
      • Case

      Riiid: Scaling AI Educational Services Globally

      By: John Jong-Hyun Kim, Nancy Dai and Ruru Hoong
      This article explores the definition and evolution of AI, its applications in education, and the role of AI, particularly in K-12 education. It discusses the founding of Riiid, an AI-driven educational technology company, and its journey in the education sector, with a... View Details
      Keywords: AI and Machine Learning; Economic Sectors; Technological Innovation; Education Industry; South Korea; Asia
      Citation
      Educators
      Purchase
      Related
      Kim, John Jong-Hyun, Nancy Dai, and Ruru Hoong. "Riiid: Scaling AI Educational Services Globally." Harvard Business School Case 324-030, November 2023.
      • November 2023
      • Case

      Copilot(s): Generative AI at Microsoft and GitHub

      By: Frank Nagle, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright and Sarah Mehta
      This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was... View Details
      Keywords: Business Ventures; Strategy; AI and Machine Learning; Applications and Software; Product Launch; Information Technology Industry; Technology Industry; Web Services Industry; United States; California
      Citation
      Educators
      Purchase
      Related
      Nagle, Frank, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright, and Sarah Mehta. "Copilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Case 624-010, November 2023.
      • November 2023 (Revised April 2024)
      • Case

      Khanmigo: Revolutionizing Learning with GenAI

      By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
      Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details
      Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco
      Citation
      Educators
      Purchase
      Related
      Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)
      • November 2023
      • Case

      Chai Point

      By: Rembrand Koning, Daniel W. Elfenbein and Kanika Jain
      Chai Point was an Indian food and beverage company focused on chai. It started in 2010 as a retail store network but soon expanded to corporate offices by developing an IoT-enabled automatic tea and filter coffee machine. By 2023, Chai Point had 170 stores and 5000... View Details
      Keywords: Entrepreneurship; Food; Resource Allocation; Vertical Integration; Expansion; Food and Beverage Industry; Technology Industry; Retail Industry; India
      Citation
      Educators
      Purchase
      Related
      Koning, Rembrand, Daniel W. Elfenbein, and Kanika Jain. "Chai Point." Harvard Business School Case 724-418, November 2023.
      • November 2023
      • Article

      A Quantity-Driven Theory of Term Premia and Exchange Rates

      By: Robin Greenwood, Samuel G. Hanson, Jeremy C. Stein and Adi Sunderam
      We develop a model in which specialized bond investors must absorb shocks to the supply and demand for long-term bonds in two currencies. Since long-term bonds and foreign exchange are both exposed to unexpected movements in short-term interest rates, a shift in the... View Details
      Keywords: Term Premium; Exchange Rate; Currency Exchange Rate; Bonds
      Citation
      Find at Harvard
      Read Now
      Purchase
      Related
      Greenwood, Robin, Samuel G. Hanson, Jeremy C. Stein, and Adi Sunderam. "A Quantity-Driven Theory of Term Premia and Exchange Rates." Quarterly Journal of Economics 138, no. 4 (November 2023): 2327–2389.
      • November–December 2023
      • Article

      Keep Your AI Projects on Track

      By: Iavor Bojinov
      AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details
      Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
      Citation
      Find at Harvard
      Register to Read
      Related
      Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
      • November–December 2023
      • Article

      Network Centralization and Collective Adaptability to a Shifting Environment

      By: Ethan S. Bernstein, Jesse C. Shore and Alice J. Jang
      We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more... View Details
      Keywords: Network Centralization; Collective Intelligence; Organizational Change and Adaptation; Organizational Structure; Communication; Decision Making; Networks; Adaptation
      Citation
      Find at Harvard
      Read Now
      Related
      Bernstein, Ethan S., Jesse C. Shore, and Alice J. Jang. "Network Centralization and Collective Adaptability to a Shifting Environment." Organization Science 34, no. 6 (November–December 2023): 2064–2096.
      • November 2023
      • Article

      Psychological Factors Underlying Attitudes toward AI Tools

      By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
      What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
      Keywords: Policy; Self; AI and Machine Learning; Attitudes; Technology Adoption
      Citation
      Read Now
      Related
      De Freitas, Julian, Stuti Agarwal, B. Schmitt, and N. Haslam. "Psychological Factors Underlying Attitudes toward AI Tools." Nature Human Behaviour 7, no. 11 (November 2023): 1845–1854.
      • 2023
      • Working Paper

      The Optimal Stock Valuation Ratio

      By: Sebastian Hillenbrand and Odhrain McCarthy
      Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted... View Details
      Keywords: Price; Investment Return; AI and Machine Learning; Valuation; Cash Flow; Forecasting and Prediction
      Citation
      SSRN
      Related
      Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
      • 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
      Citation
      Educators
      Related
      Buell, Ryan W., and Himabindu Lakkaraju. "Sydney Loves Kevin." Harvard Business School Case 624-039, October 2023. (Revised January 2025.)
      • 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
      Citation
      Purchase
      Related
      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.
      • October 2023 (Revised June 2024)
      • Case

      ReUp Education: Can AI Help Learners Return to College?

      By: Kris Ferreira, Christopher Thomas Ryan and Sarah Mehta
      Founded in 2015, ReUp Education helps “stopped out students”—learners who have stopped making progress towards graduation—achieve their college completion goals. The company relies on a team of success coaches to engage with learners and help them reenroll. In 2019,... View Details
      Keywords: AI; Algorithms; Machine Learning; Edtech; Education Technology; Analysis; Higher Education; AI and Machine Learning; Customization and Personalization; Failure; Education Industry; Technology Industry; United States
      Citation
      Educators
      Purchase
      Related
      Ferreira, Kris, Christopher Thomas Ryan, and Sarah Mehta. "ReUp Education: Can AI Help Learners Return to College?" Harvard Business School Case 624-007, October 2023. (Revised June 2024.)
      • October 2023 (Revised January 2024)
      • Case

      Ball: EVA Driving the World's Leading Can Manufacturer (A)

      By: Jonas Heese and Susan Pinckney
      The case describes Ball’s multi decade history of using Economic Value Added to drive decision making and workforce compensation. In 2016, the company acquired Rexam PLC and became the world’s leading metal beverage container company. Consumer demand for varied... View Details
      Keywords: Budgets and Budgeting; Cost Accounting; Financial Reporting; Financial Statements; Buildings and Facilities; Green Building; Mergers and Acquisitions; Customer Satisfaction; Decisions; Forecasting and Prediction; Machinery and Machining; Asset Pricing; Corporate Finance; Capital; Cost; Financial Management; Goods and Commodities; Compensation and Benefits; Executive Compensation; Employee Relationship Management; Goals and Objectives; Resource Allocation; Business Strategy; Corporate Strategy; Food and Beverage Industry; United States; Arizona; California; Texas
      Citation
      Educators
      Purchase
      Related
      Heese, Jonas, and Susan Pinckney. "Ball: EVA Driving the World's Leading Can Manufacturer (A)." Harvard Business School Case 124-002, October 2023. (Revised January 2024.)
      • 2023
      • Working Paper

      Deglobalization and Entrepreneurial Investment: The Natural Experiment of Brexit

      By: Elisa Alvarez-Garrido and Juan Alcácer
      We seek to gain insight into the consequences of deglobalization on entrepreneurial investment by analyzing an instance of economic disintegration: the United Kingdom’s exit from the European Union. Brexit is not only a unique empirical opportunity, a natural... View Details
      Keywords: Entrepreneurial Finance; International Relations; Trade; Disruption; Globalized Economies and Regions; United Kingdom
      Citation
      Read Now
      Related
      Alvarez-Garrido, Elisa, and Juan Alcácer. "Deglobalization and Entrepreneurial Investment: The Natural Experiment of Brexit." Harvard Business School Working Paper, No. 24-017, August 2023.
      • ←
      • 10
      • 11
      • …
      • 63
      • 64
      • →

      Are you looking for?

      →Search All HBS Web
      ǁ
      Campus Map
      Harvard Business School
      Soldiers Field
      Boston, MA 02163
      →Map & Directions
      →More Contact Information
      • Make a Gift
      • Site Map
      • Jobs
      • Harvard University
      • Trademarks
      • Policies
      • Accessibility
      • Digital Accessibility
      Copyright © President & Fellows of Harvard College.