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  • All HBS Web  (825)
    • News  (214)
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    • Events  (6)
    • Multimedia  (10)
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  • March 2024 (Revised June 2025)
  • Teaching Note

CoPilot(s): Generative AI at Microsoft and GitHub

By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
Keywords: Mergers and Acquisitions; AI and Machine Learning; Applications and Software; Technological Innovation; Product Launch; Open Source Distribution; Product Development; Commercialization; Competition; Resource Allocation; Technology Industry
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Nagle, Frank, and Maria P. Roche. "CoPilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Teaching Note 724-452, March 2024. (Revised June 2025.)
  • 2024
  • Working Paper

Transforming the Federal Bureau of Investigation: Outcome and Process Framing

By: Ryan Raffaelli, Tiona Zuzul, Ranjay Gulati and Jan Rivkin
This twelve-year qualitative study examines how Director Robert Mueller and his senior team profoundly transformed the United States Federal Bureau of Investigation (FBI) after the 9/11 terrorist attacks. Drawing on 138 interviews within the FBI and Mueller’s... View Details
Keywords: Mission and Purpose; Transformation; Government and Politics; Organizational Change and Adaptation
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Raffaelli, Ryan, Tiona Zuzul, Ranjay Gulati, and Jan Rivkin. "Transforming the Federal Bureau of Investigation: Outcome and Process Framing." Harvard Business School Working Paper, No. 16-084. (Revise and Resubmit.)
  • May 2022
  • Case

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

By: Tsedal Neeley and Stefani Ruper
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 she accepted your resignation.” Heart... View Details
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation
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Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
  • 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).
  • May 2023 (Revised January 2024)
  • Case

Quigley-Simpson & Heppelwhite: The Ad Agency Model in the Age of AI

By: David C. Edelman and James Barnett
In October 2022, Quigley-Simpson & Heppelwhite CEO Carl Fremont considers how the advertising agency will integrate artificial intelligence tools into the business. View Details
Keywords: Marketing; Strategy; Advertising Industry; United States
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Edelman, David C., and James Barnett. "Quigley-Simpson & Heppelwhite: The Ad Agency Model in the Age of AI." Harvard Business School Case 523-054, May 2023. (Revised January 2024.)
  • August 2022 (Revised January 2023)
  • Case

Icario Health: AI to Drive Health Engagement

By: David C. Edelman
Icario Health has built a market-leading artificial intelligence (AI) engine to help health insurers drive better health behaviors for their members, enabling the insurers to improve their Medicare performance. View Details
Keywords: Marketing; Health Care and Treatment; AI and Machine Learning; Health Industry; United States
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Edelman, David C. "Icario Health: AI to Drive Health Engagement." Harvard Business School Case 523-025, August 2022. (Revised January 2023.)
  • November 2024 (Revised January 2025)
  • Case

MiDAS: Automating Unemployment Benefits

By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
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Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
  • 25 Oct 2018
  • Cold Call Podcast

Vodafone’s Innovative Approach to Advanced Technologies

Keywords: Telecommunications
  • July 2024
  • Technical Note

What Is AI?

By: Michael Parzen and Jo Ellery
This note discusses definitions of artificial intelligence and covers the broad types of learning used in training AI, as well as explaining in detail how neural networks are built, trained, and used. View Details
Keywords: AI and Machine Learning
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Parzen, Michael, and Jo Ellery. "What Is AI?" Harvard Business School Technical Note 625-010, July 2024.
  • May 2025 (Revised June 2025)
  • Supplement

Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)

By: Linda A. Hill and Lydia Begag
This fourth installment in the Pfizer Global Clinical Supply (GCS) transformation case series highlights how over a decade of cultural and digital evolution positioned GCS to meet unprecedented global challenges. In 2011, Michael Ku became the Vice President of GCS and... View Details
Keywords: Innovation Leadership; Technological Innovation; Leadership Development; Leadership Style; Research and Development; Science-Based Business; Transformation; Health Pandemics; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Leading Change; Product Launch; Supply Chain; Organizational Change and Adaptation; Alignment; Pharmaceutical Industry; Biotechnology Industry; Health Industry; United States; Asia; Europe; Latin America
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Hill, Linda A., and Lydia Begag. "Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)." Harvard Business School Supplement 425-079, May 2025. (Revised June 2025.)
  • 2023
  • Working Paper

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
  • 2025
  • Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions
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DosSantos DiSorbo, Matthew, Kris Ferreira, Maya Balakrishnan, and Jordan Tong. "Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers." Working Paper, May 2025.
  • 18 Apr 2019
  • Research & Ideas

Open Innovation Contestants Build AI-Based Cancer Tool

difficult and time-consuming even in countries with sufficient medical resources, much less in developing countries where the need is great but fewer personnel have the time and training. Harvard researchers... View Details
Keywords: by Martha Lagace; Health; Medical Devices & Supplies
  • February 2024
  • Case

SundaySky: Changing Customer Experiences through Personalized Video

By: David C. Edelman and James Barnett
In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative... View Details
Keywords: Advertising; Strategy; Technology Adoption; AI and Machine Learning; Applications and Software; Growth and Development Strategy; Advertising Industry; Technology Industry; United States
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Edelman, David C., and James Barnett. "SundaySky: Changing Customer Experiences through Personalized Video." Harvard Business School Case 524-013, February 2024.
  • 2024
  • Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills
The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details
Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science
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Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. 2nd Edition, NY: Palgrave Macmillan, 2024.
  • 10 Jul 2018
  • First Look

New Research and Ideas, July 10, 2018

business plans, and key personnel ignited a bi-coastal battle between two fierce rivals that was played out in courts competing for jurisdiction and states with diametrically opposed View Details
Keywords: Dina Gerdeman
  • October 31, 2022
  • Article

Achieving Individual—and Organizational—Value with AI

By: Sam Ransbotham, David Kiron, François Candelon, Shervin Khodabandeh and Michael Chu
New research shows that employees derive individual value from AI when using the technology improves their sense of competency, autonomy, and relatedness. Likewise, organizations are far more likely to obtain value from AI when their workers do. This report offers key... View Details
Keywords: AI and Machine Learning; Value; Competency and Skills
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Ransbotham, Sam, David Kiron, François Candelon, Shervin Khodabandeh, and Michael Chu. "Achieving Individual—and Organizational—Value with AI." MIT Sloan Management Review, Big Ideas Artificial Intelligence and Business Strategy Initiative (website) (October 31, 2022). (Findings from the 2022 Artificial Intelligence and Business Strategy Global Executive Study and Research Project.)
  • 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
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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.)
  • 09 Apr 2024
  • Book

Why Work Rituals Bring Teams Together and Create More Meaning

Social Circle Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu. Image: Image created with elements generated by Midjourney, an artificial intelligence tool, View Details
Keywords: by Michael Blanding
  • 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.)
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