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      • December 2023 (Revised August 2024)
      • Case

      Monsters in the Machine? Tackling the Challenge of Responsible AI

      By: Paul M. Healy and Debora L. Spar
      In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
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      Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
      • November 2023
      • Article

      Algorithmic Mechanism Design with Investment

      By: Mohammad Akbarpour, Scott Duke Kominers, Kevin Michael Li, Shengwu Li and Paul Milgrom
      We study the investment incentives created by truthful mechanisms that allocate resources using approximation algorithms. Some approximation algorithms guarantee nearly 100% of the optimal welfare, but have only a zero guarantee when one bidder can invest before... View Details
      Keywords: Mechanism Design; Market Design; Auctions
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      Akbarpour, Mohammad, Scott Duke Kominers, Kevin Michael Li, Shengwu Li, and Paul Milgrom. "Algorithmic Mechanism Design with Investment." Econometrica 91, no. 6 (November 2023): 1969–2003.
      • 2023
      • Article

      M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models

      By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
      While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
      Keywords: AI and Machine Learning
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      Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • 2023
      • Chapter

      Malleability Interventions in Intergroup Relations

      By: Smadar Cohen-Chen, Amit Goldenberg, James J. Gross and Eran Halperin
      One important characteristic of intergroup relations and conflicts is the fact that toxic or violent intergroup relations are often associated with fixed and stable perceptions of various entities, including the ingroup (stable and positive), the outgroup (stable and... View Details
      Keywords: Conflict and Resolution; Groups and Teams; Attitudes
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      Cohen-Chen, Smadar, Amit Goldenberg, James J. Gross, and Eran Halperin. "Malleability Interventions in Intergroup Relations." Chap. 7 in Psychological Intergroup Interventions: Evidence-based Approaches to Improve Intergroup Relations, by Eran Halperin, Boaz Hameiri, and Rebecca Littman. Routledge, 2023.
      • November 2023 (Revised March 2024)
      • Technical Note

      Customer Data Privacy

      By: Eva Ascarza and Ta-Wei Huang
      This note provides an overview of the evolving landscape of customer data privacy in 2023. It highlights two pivotal aspects that make privacy a central concern for businesses: building and maintaining customer trust and navigating the intricate regulatory... View Details
      Keywords: Customer Relationship Management; Governance Compliance; Governing Rules, Regulations, and Reforms; Risk and Uncertainty; Reputation; Trust; Information Management; Retail Industry; Technology Industry; Financial Services Industry; Telecommunications Industry; Europe; United States
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      Ascarza, Eva, and Ta-Wei Huang. "Customer Data Privacy." Harvard Business School Technical Note 524-005, November 2023. (Revised March 2024.)
      • 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
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      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–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.
      • 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
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      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.
      • October 2023 (Revised March 2024)
      • Case

      KOKO Networks: Bridging Energy Transition and Affordability with Carbon Financing

      By: George Serafeim, Siko Sikochi and Namrata Arora
      The problem was massive: two million hectares of African forests were lost annually to charcoal production for cooking, an area equivalent to 13 times Greater London, resulting in one billion tons of carbon emissions yearly. At the same time, an estimated 700,000... View Details
      Keywords: Clean Tech; Digital; Carbon Credits; Carbon Offsetting; Africa; Emerging Markets; Energy; Climate Change; Entrepreneurship; Energy Sources; Environmental Sustainability; Health; Market Design; Business Startups; Transition; Environmental Regulation; Policy; Energy Industry; Consumer Products Industry; Africa; Kenya; Rwanda
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      Serafeim, George, Siko Sikochi, and Namrata Arora. "KOKO Networks: Bridging Energy Transition and Affordability with Carbon Financing." Harvard Business School Case 124-022, October 2023. (Revised March 2024.)
      • 2023
      • Working Paper

      Are Hospital Quality Indicators Causal?

      By: Amitabh Chandra, Maurice Dalton and Douglas O. Staiger
      Hospitals play a key role in patient outcomes and spending, but efforts to improve their quality are hindered because we do not know whether hospital quality indicators are causal or biased. We evaluate the validity of commonly used quality indicators, such as... View Details
      Keywords: Quality; Health Care and Treatment; Measurement and Metrics; Outcome or Result; Health Industry
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      Chandra, Amitabh, Maurice Dalton, and Douglas O. Staiger. "Are Hospital Quality Indicators Causal?" NBER Working Paper Series, No. 31789, October 2023.
      • 2023
      • Working Paper

      Black-box Training Data Identification in GANs via Detector Networks

      By: Lukman Olagoke, Salil Vadhan and Seth Neel
      Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
      Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science
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      Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
      • October 2023
      • Article

      Coordination and Bandwagon Effects: How Past Rankings Shape the Behavior of Voters and Candidates

      By: Riako Granzier, Vincent Pons and Clémence Tricaud
      Candidates’ placements in polls or past elections can be powerful coordination devices for both parties and voters. Using a regression discontinuity design in French elections, we show that candidates who place first by only a small margin in the first round are more... View Details
      Keywords: Strategic Voting; Coordination; Bandwagon Effect; Regression Discontinuity Design; French Elections; Voting; Political Elections; Behavior; France
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      Granzier, Riako, Vincent Pons, and Clémence Tricaud. "Coordination and Bandwagon Effects: How Past Rankings Shape the Behavior of Voters and Candidates." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 177–217.
      • 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.
      • 2023
      • Working Paper

      The Customer Journey as a Source of Information

      By: Nicolas Padilla, Eva Ascarza and Oded Netzer
      In the face of heightened data privacy concerns and diminishing third-party data access, firms are placing increased emphasis on first-party data (1PD) for marketing decisions. However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
      Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships
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      Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
      • September 2023 (Revised June 2024)
      • Case

      Kaspi.kz: Building Trust through Innovation

      By: Sandra J. Sucher, Fares Khrais and Marilyn Morgan Westner
      This case is written to help students explore how companies can maintain and develop trust while innovating, how to identify and respond effectively to warning signs that they may not be as trusted as they believe, and how being trusted can aid in expanding and growing... View Details
      Keywords: Growth and Development Strategy; Organizational Culture; Trust; Technology Adoption; Innovation and Invention; Banking Industry
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      Sucher, Sandra J., Fares Khrais, and Marilyn Morgan Westner. "Kaspi.kz: Building Trust through Innovation." Harvard Business School Case 324-022, September 2023. (Revised June 2024.)
      • 2023
      • Working Paper

      Centralization and Organization Reproduction: Ethnic Innovation in R&D Centers and Satellite Locations

      By: William R. Kerr
      We study the relationship between firm centralization and organizational reproduction in satellite locations. For decentralized firms, the ethnic compositions of inventors in satellite locations mostly resemble their host cities, with little link to the inventor... View Details
      Keywords: Ethnicity; Business Offices; Research and Development; Innovation and Invention; Organizational Design
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      Kerr, William R. "Centralization and Organization Reproduction: Ethnic Innovation in R&D Centers and Satellite Locations." Harvard Business School Working Paper, No. 24-015, September 2023.
      • September 2023
      • Module Note

      Live Case Exercise for Financial Reporting

      By: Tatiana Sandino and Marshal Herrmann
      Harvard Business School employs the case method as a cornerstone of its pedagogy, providing students with opportunities to engage in discussions related to difficult or contentious decisions confronted by real-world organizations. In this “live case,” we depart from... View Details
      Keywords: Financial Reporting; Research; Corporate Disclosure
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      Sandino, Tatiana, and Marshal Herrmann. "Live Case Exercise for Financial Reporting." Harvard Business School Module Note 124-031, September 2023.
      • September 2023
      • Teaching Note

      Shad Process Flow Design Exercise: Kick-Off Class

      By: Willy C. Shih
      The Shad Process Flow Design Exercise is a simulation designed to help students cement what they learn in the process fundamentals section of the RCTOM course by giving them the opportunity to translate classroom concepts into actual physical processes and experience... View Details
      Keywords: Production; Business Processes; Manufacturing Industry; United States
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      Shih, Willy C. "Shad Process Flow Design Exercise: Kick-Off Class." Harvard Business School Teaching Note 624-043, September 2023.
      • September 13, 2023
      • Article

      The Myth of the CEO as Ultimate Decision Maker

      By: Nitin Nohria
      Chief executives are responsible for guiding corporations, so the role inevitably requires making many decisions. But people overestimate the level of personal involvement CEOs have in this process. Instead of making decisions, CEOs tend to shape decisions, by... View Details
      Keywords: Problem Solving; Delegation; Leadership Style; Decision Making; Time Management; Power and Influence
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      Nohria, Nitin. "The Myth of the CEO as Ultimate Decision Maker." Harvard Business Review (website) (September 13, 2023).
      • September 2023
      • Article

      Measuring Time Use in Rural India: Design and Validation of a Low-Cost Survey Module

      By: Erica Field, Rohini Pande, Natalia Rigol, Simone Schaner, Elena Stacy and Charity Troyer Moore
      Time use data can help us understand individual labor supply choices, especially for women who often provide unpaid care and home production. Although enumerator-assisted diary-based time use data collection is suitable for low-literacy populations, it is costly and... View Details
      Keywords: Time Use; Measurement and Metrics; Gender; Labor
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      Field, Erica, Rohini Pande, Natalia Rigol, Simone Schaner, Elena Stacy, and Charity Troyer Moore. "Measuring Time Use in Rural India: Design and Validation of a Low-Cost Survey Module." Journal of Development Economics 164 (September 2023): 103105.
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