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    • All HBS Web  (3,055)
      • Faculty Publications  (599)

      Machine Learning ModelsRemove Machine Learning Models →

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      • 2021
      • Conference Presentation

      An Algorithmic Framework for Fairness Elicitation

      By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
      We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
      Keywords: Algorithmic Fairness; Machine Learning; Fairness; Framework; Mathematical Methods
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      Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
      • Article

      Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

      By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
      Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
      Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
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      Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
      • May 2020
      • Case

      Numenta in 2020: The Future of AI

      By: David B. Yoffie, Cameron Armstrong, Mei Tao and Marta Zwierz
      In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This case explores the challenges of building a business... View Details
      Keywords: Artificial Intelligence; Monetization; Information Technology; Strategy; Intellectual Property; Business Model; AI and Machine Learning; Technology Industry
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      Yoffie, David B., Cameron Armstrong, Mei Tao, and Marta Zwierz. "Numenta in 2020: The Future of AI." Harvard Business School Case 720-463, May 2020.
      • 2020
      • Article

      Public Sentiment and the Price of Corporate Sustainability

      By: George Serafeim
      Combining corporate sustainability performance scores based on environmental, social, and governance (ESG) data with big data measuring public sentiment about a company’s sustainability performance, I find that the valuation premium paid for companies with strong... View Details
      Keywords: Sustainability; ESG; ESG (Environmental, Social, Governance) Performance; Investment Management; Investment Strategy; Big Data; Machine Learning; Environment; Environmental Sustainability; Corporate Governance; Performance; Asset Pricing; Investment; Management; Strategy; Human Capital; Public Opinion; Value; Analytics and Data Science
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      Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
      • 26 Apr 2020
      • Other Presentation

      Towards Modeling the Variability of Human Attention

      By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
      Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
      Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
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      Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
      • April 2020 (Revised July 2020)
      • Case

      Amazon in China and India

      By: Krishna G. Palepu and Kairavi Dey
      Amazon has been unsuccessful in its efforts to develop a business in China. Even though Amazon was an early entrant into China’s e-commerce space, its domestic rivals, especially Alibaba, created innovative business models uniquely suited for the conditions in China. ... View Details
      Keywords: Global Strategy; Multinational Firms and Management; Emerging Markets; Business Strategy; Expansion; Business Model; Retail Industry; China; India; United States
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      Palepu, Krishna G., and Kairavi Dey. "Amazon in China and India." Harvard Business School Case 120-111, April 2020. (Revised July 2020.)
      • April 2020
      • Teaching Note

      Tailor Brands: Artificial Intelligence-Driven Branding

      By: Jill Avery
      Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
      Keywords: Marketing; Brands and Branding; Marketing Strategy; Advertising Industry; Technology Industry; United States; North America
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      Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Teaching Note 520-103, April 2020.
      • 2020
      • Conference Presentation

      Active World Model Learning with Progress-driven Exploration

      By: K-H Kim, M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins
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      Kim, K-H, M. Sano, J. De Freitas, N. Haber, and D. L. K. Yamins. "Active World Model Learning with Progress-driven Exploration." Paper presented at the 8th International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, 2020.
      • April 2020
      • Article

      CEO Behavior and Firm Performance

      By: Oriana Bandiera, Stephen Hansen, Andrea Prat and Raffaella Sadun
      We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level... View Details
      Keywords: CEOs; Management; Behavior; Organizations; Performance; Analysis
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      Bandiera, Oriana, Stephen Hansen, Andrea Prat, and Raffaella Sadun. "CEO Behavior and Firm Performance." Journal of Political Economy 128, no. 4 (April 2020): 1325–1369.
      • Mar 2020
      • Conference Presentation

      A New Analysis of Differential Privacy's Generalization Guarantees

      By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
      We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
      Keywords: Machine Learning; Transfer Theorem; Mathematical Methods
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      Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
      • 2020
      • Working Paper

      Design in the Age of Artificial Intelligence

      By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
      Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details
      Keywords: Artificial Intelligence; Design Thinking; Technological Innovation; Design; Change; Theory; AI and Machine Learning
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      Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
      • February 2020
      • Technical Note

      Talent Management and the Future of Work

      By: William R. Kerr and Gorick Ng
      The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes... View Details
      Keywords: Human Resource Management; Human Capital Development; Human Resource Practices; Talent; Talent Acquisition; Talent Development; Talent Development And Retention; Talent Management; Talent Retention; Labor Flows; Labor Management; Labor Market; Strategy Development; Strategy Management; Strategy Execution; Strategy And Execution; Strategic Change; Transformations; Organization; Organization Alignment; Organization Design; Organizational Adaptation; Organizational Effectiveness; Management Challenges; Management Of Business And Political Risk; Change Leadership; Future Of Work; Future; Skills Gap; Skills Development; Skills; Offshoring And Outsourcing; Investment; Capital Allocation; Work; Work Culture; Work Force Management; Work/life Balance; Work/family Balance; Work-family Boundary Management; Workers; Worker Productivity; Worker Performance; Work Engagement; Work Environment; Work Environments; Productivity; Organization Culture; Soft Skills; Technology Management; Technological Change; Technological Change: Choices And Consequences; Technology Diffusion; Disruptive Technology; Global Business; Global; Workplace; Workplace Context; Workplace Culture; Workplace Wellness; Collaboration; Competencies; Productivity Gains; Digital; Digital Transition; Competitive Dynamics; Competitiveness; Competitive Strategy; Data Analytics; Data; Data Management; Data Strategy; Data Protection; Aging Society; Diversity; Diversity Management; Millennials; Communication Complexity; Communication Technologies; International Business; Work Sharing; Global Competitiveness; Global Corporate Cultures; Intellectual Property; Intellectual Property Management; Intellectual Property Protection; Intellectual Capital And Property Issues; Globalization Of Supply Chain; Inequality; Recruiting; Hiring; Hiring Of Employees; Training; Job Cuts And Outsourcing; Job Performance; Job Search; Job Design; Job Satisfaction; Jobs; Employee Engagement; Employee Attitude; Employee Benefits; Employee Compensation; Employee Fairness; Employee Relationship Management; Employee Retention; Employee Selection; Employee Motivation; Employee Feedback; Employee Coordination; Employee Performance Management; Employee Socialization; Process Improvement; Application Performance Management; Stigma; Institutional Change; Candidates; Digital Enterprise; Cultural Adaptation; Cultural Change; Cultural Diversity; Cultural Context; Cultural Strategies; Cultural Psychology; Cultural Reform; Performance; Performance Effectiveness; Performance Management; Performance Evaluation; Performance Appraisal; Performance Feedback; Performance Measurement; Performance Metrics; Performance Measures; Performance Efficiency; Efficiency; Performance Analysis; Performance Appraisals; Performance Improvement; Automation; Artificial Intelligence; Technology Companies; Managerial Processes; Skilled Migration; Assessment; Human Resources; Management; Human Capital; Talent and Talent Management; Retention; Demographics; Labor; Strategy; Change; Change Management; Transformation; Organizational Change and Adaptation; Organizational Culture; Working Conditions; Information Technology; Technology Adoption; Disruption; Economy; Competition; Globalization; AI and Machine Learning; Digital Transformation
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      Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.
      • 2020
      • Working Paper

      Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation

      By: Michael Yeomans and Alison Wood Brooks
      Although most humans engage in conversations constantly throughout their lives, conversational mistakes are commonplace— interacting with others is difficult, and conversation re-quires quick, relentless perspective-taking and decision making. For example: during every... View Details
      Keywords: Natural Language Processing; Interpersonal Communication; Perspective; Decision Making; Perception
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      Yeomans, Michael, and Alison Wood Brooks. "Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation." Harvard Business School Working Paper, No. 20-077, February 2020.
      • January–February 2020
      • Article

      Competing in the Age of AI

      By: Marco Iansiti and Karim R. Lakhani
      Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the... View Details
      Keywords: Artificial Intelligence; Algorithms; Technological Innovation; Business Model; Competition; Competitive Strategy; AI and Machine Learning
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      Iansiti, Marco, and Karim R. Lakhani. "Competing in the Age of AI." Harvard Business Review 98, no. 1 (January–February 2020): 60–67.
      • Article

      Fake AI People Won't Fix Online Dating

      By: Scott Duke Kominers
      Computer-generated images may inspire even more distrust and surely won’t lead to the love of a lifetime. View Details
      Keywords: Artificial Intelligence; Dating Services; Internet and the Web; Ethics; AI and Machine Learning
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      Kominers, Scott Duke. "Fake AI People Won't Fix Online Dating." Bloomberg Opinion (January 16, 2020).
      • 2020
      • Book

      Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

      By: Marco Iansiti and Karim R. Lakhani
      In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very... View Details
      Keywords: Artificial Intelligence; Technological Innovation; Change; Competition; Strategy; Leadership; Business Processes; Organizational Change and Adaptation; AI and Machine Learning
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      Iansiti, Marco, and Karim R. Lakhani. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Boston: Harvard Business Review Press, 2020.
      • Article

      Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error

      By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
      Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
      Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
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      Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
      • 2020
      • Conference Presentation

      Learning World Models with Progress-driven Exploration

      By: K-H Kim, M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins
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      Kim, K-H, M. Sano, J. De Freitas, N. Haber, and D. L. K. Yamins. "Learning World Models with Progress-driven Exploration." Paper presented at the 37th International Conference on Machine Learning, Vienna, Austria, 2020.
      • December 2019 (Revised February 2024)
      • Teaching Note

      Ripple: The Business of Crypto and Ripple 2023

      By: David B. Yoffie
      The case explores Ripple CEO Brad Garlinghouse’s mission to disrupt the global payments industry by leveraging the cryptocurrency XRP. Students will learn about Bitcoin and the blockchain industry, as well as Ripple’s unique crypto business model. The case provides an... View Details
      Keywords: Payment Systems; Cryptocurrency; Bitcoin; Blockchain; Fintech; Business Startups; Business Model; Disruption; Strategy
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      Yoffie, David B. "Ripple: The Business of Crypto and Ripple 2023." Harvard Business School Teaching Note 720-418, December 2019. (Revised February 2024.)
      • December 2019 (Revised November 2021)
      • Course Overview Note

      The Entrepreneurial Manager: Spring 2022

      By: Mitchell Weiss and Benjamin Henkes
      This is the course overview note for “The Entrepreneurial Manager,” taught in the first year at Harvard Business School. Students will learn how to be opportunity-driven managers and how to lead under uncertainty. They'll learn how to identify opportunities, how to... View Details
      Keywords: Entrepreneurial Management; Entrepreneurship; Management
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      Weiss, Mitchell, and Benjamin Henkes. "The Entrepreneurial Manager: Spring 2022." Harvard Business School Course Overview Note 820-082, December 2019. (Revised November 2021.)
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