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      • March 2025
      • Case

      Metaphysic AI: Rethinking the Value of Human Expertise

      By: Zoë B. Cullen, Shikhar Ghosh and Shweta Bagai
      In early 2025, Thomas Graham, CEO of Metaphysic, a leading AI generative video company confronted fundamental questions about who should control digital identity in a world where AI could perfectly recreate human likeness. Founded in 2021, Metaphysic first rose to fame... View Details
      Keywords: Business Model; Ethics; AI and Machine Learning; Intellectual Property; Rights; Negotiation; Value; Technology Industry; Technology Industry
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      Cullen, Zoë B., Shikhar Ghosh, and Shweta Bagai. "Metaphysic AI: Rethinking the Value of Human Expertise." Harvard Business School Case 825-146, March 2025.
      • 2025
      • Working Paper

      Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure

      By: Jason Milionis, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers and Tim Roughgarden
      We introduce the first formal model capturing the elicitation of unverifiable information from a party (the "source") with implicit signals derived by other players (the "observers"). Our model is motivated in part by applications in decentralized physical... View Details
      Keywords: Mathematical Methods; Infrastructure; Information Infrastructure
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      Milionis, Jason, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers, and Tim Roughgarden. "Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure." Working Paper, March 2025.
      • March 2025
      • Article

      Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures

      By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
      The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details
      Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
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      Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures." Art. 100559. Information and Organization 35, no. 1 (March 2025).
      • February 2025
      • Case

      Blue Owl Financing of Ping Identity

      By: Victoria Ivashina and Srimayi Mylavarapu
      In the fall of 2022, Blue Owl Capital's investment committee evaluated a potential investment in the technology sector. The proposed transaction centered on Ping Identity Corporation (“Ping”), a fast-growing identity access management (IAM) software company that was... View Details
      Keywords: Mergers and Acquisitions; Borrowing and Debt; Cash Flow; Investment; Privatization; Technology Industry; Technology Industry
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      Ivashina, Victoria, and Srimayi Mylavarapu. "Blue Owl Financing of Ping Identity." Harvard Business School Case 225-078, February 2025.
      • February 2025
      • Article

      Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots

      By: Julian De Freitas and I. Glenn Cohen
      In the wake of recent advancements in generative AI, regulatory bodies are trying to keep pace. One key decision is whether to require app makers to disclose the use of generative AI-powered chatbots in their products. We suggest that some generative AI-based chatbots... View Details
      Keywords: AI and Machine Learning; Governing Rules, Regulations, and Reforms; Applications and Software; Well-being
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      De Freitas, Julian, and I. Glenn Cohen. "Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots." New England Journal of Medicine AI 2, no. 2 (February 2025).
      • January 2025
      • Case

      Summer Health: Raising an AI-First Company?

      By: Jeffrey J. Bussgang, Sarah Mehta and Maxim Pike Harrell
      In October 2023, Summer Health CEO Ellen DaSilva arrived at a defining juncture for her pediatric telehealth startup. Founded in 2021, Summer Health offered parents rapid access to licensed pediatricians via text message. DaSilva, an experienced telehealth executive,... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Entrepreneurship; Leadership; Business Startups; Health Care and Treatment; Business Strategy; Product Development; Health Industry; Telecommunications Industry; United States
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      Bussgang, Jeffrey J., Sarah Mehta, and Maxim Pike Harrell. "Summer Health: Raising an AI-First Company?" Harvard Business School Case 825-083, 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

      Ontra: Embracing GenAI in the Legal Technology Industry

      By: Christopher Stanton and George Gonzalez
      Ontra built a network of legal professionals to enable financial institutions to outsource contract negotiations. The rise of generative AI inspired the company to build software solutions to streamline its processes through automation. Now company leadership must... View Details
      Keywords: Transformation; AI and Machine Learning; Applications and Software; Organizational Change and Adaptation; Organizational Culture; Business Strategy; Technology Industry; Technology Industry; United States
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      Stanton, Christopher, and George Gonzalez. "Ontra: Embracing GenAI in the Legal Technology Industry." Harvard Business School Case 825-076, January 2025.
      • January 2025
      • Case

      GE Appliances 2025: Energizing Change

      By: Rosabeth Moss Kanter and Jacob A. Small
      At the turn of 2025, Kevin Nolan, CEO of GE Appliances following its acquisition by Chinese appliance giant Haier in 2016, is reviewing progress toward his net zero carbon vision for homes, which would otherwise exacerbate the global warming climate crisis. An... View Details
      Keywords: Mergers and Acquisitions; Transformation; Climate Change; Environmental Sustainability; Technological Innovation
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      Kanter, Rosabeth Moss, and Jacob A. Small. "GE Appliances 2025: Energizing Change." Harvard Business School Case 325-089, 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).
      • January 2025
      • Article

      Enterprise Resource Planning (ERP) System Implementations and Corporate Misconduct

      By: Jonas Heese and Joseph Pacelli
      This study examines whether enterprise resource planning (ERP) implementations are associated with reductions in corporate misconduct. Specifically, we study the relation between staggered facility-level rollouts of ERP systems and facility-level regulatory violations... View Details
      Keywords: Accounting; Governing Rules, Regulations, and Reforms; Governance Compliance
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      Heese, Jonas, and Joseph Pacelli. "Enterprise Resource Planning (ERP) System Implementations and Corporate Misconduct." Accounting Review 100, no. 1 (January 2025): 291–315.
      • January–February 2025
      • Article

      Location-Specificity and Relocation Incentive Programs for Remote Workers

      By: Thomaz Teodorovicz, Prithwiraj Choudhury and Evan Starr
      The precipitous growth of remote work has given rise to a new phenomenon: the emergence of relocation incentive programs that localities use to compete for the physical presence of remote workers. Remote workers with high general human capital may create value for... View Details
      Keywords: Remote Work; Motivation and Incentives; Geographic Location; Talent and Talent Management; Human Capital; Tulsa
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      Teodorovicz, Thomaz, Prithwiraj Choudhury, and Evan Starr. "Location-Specificity and Relocation Incentive Programs for Remote Workers." Organization Science 36, no. 1 (January–February 2025): 186–212.
      • 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.
      • 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.
      • 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
      • Case

      Core Innovation Capital: Investing in Fintech for Good

      By: Ray Kluender, Natalia Rigol, Benjamin Roth and Nicole Tempest Keller
      In 2017, Arjan Schütte, founder of Core Innovation Capital, faced a decision on whether to invest in Hugo Insurance, an auto insurance startup. Core, an early-stage social impact VC firm, focused on “fintech for good,” by investing in financial services for low- to... View Details
      Keywords: Fintech; Venture Capital; Social Entrepreneurship; Insurance; Measurement and Metrics; Investment; Corporate Social Responsibility and Impact; Product Positioning; Technology Industry; Technology Industry; Technology Industry; United States
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      Kluender, Ray, Natalia Rigol, Benjamin Roth, and Nicole Tempest Keller. "Core Innovation Capital: Investing in Fintech for Good." Harvard Business School Case 825-064, December 2024.
      • December 2024
      • Supplement

      Core Innovation Capital: Investing in Fintech for Good (B)

      By: Ray Kluender, Natalia Rigol, Benjamin Roth and Nicole Tempest Keller
      In 2017, Core Innovation Capital invested $725,000 in Hugo Insurance, a pay-as-you-drive auto insurance startup targeting the non-standard market. Core followed with $300,000 in 2019 during a Seed II round. By 2022, Hugo founder, David Bergendahl, sought $10 million in... View Details
      Keywords: Fintech; Venture Capital; Social Entrepreneurship; Insurance; Measurement and Metrics; Investment; Technology Industry; Technology Industry; Technology Industry; United States
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      Kluender, Ray, Natalia Rigol, Benjamin Roth, and Nicole Tempest Keller. "Core Innovation Capital: Investing in Fintech for Good (B)." Harvard Business School Supplement 825-094, December 2024.
      • December 2024 (Revised March 2025)
      • Case

      Tata Power and India's Energy Transition

      By: Vikram S. Gandhi, Radhika Kak and Kairavi Dey
      Tata Power stood at the forefront of India’s energy transition. The firm had a long history deeply intertwined with the country's development. As Mumbai’s power needs increased, Tata Power built out thermal assets across North, West, and East India. While thermal power... View Details
      Keywords: Renewable Energy; Energy Sources; Climate Change; Green Technology; Transition; Energy Generation; Resource Allocation; Energy Industry; Asia; India
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      Gandhi, Vikram S., Radhika Kak, and Kairavi Dey. "Tata Power and India's Energy Transition." Harvard Business School Case 325-081, 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

      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.
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