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Publications

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  • All HBS Web  (1,423)
    • News  (523)
    • Research  (588)
    • Events  (29)
    • Multimedia  (78)
  • Faculty Publications  (550)

Show Results For

  • All HBS Web  (1,423)
    • News  (523)
    • Research  (588)
    • Events  (29)
    • Multimedia  (78)
  • Faculty Publications  (550)
← Page 10 of 1,423 Results →
  • 2020
  • Article

Defining AI in Policy versus Practice

By: P.M. Krafft, Meg Young, Michael Katell, Karen Huang and Ghislain Bugingo
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Krafft, P.M., Meg Young, Michael Katell, Karen Huang, and Ghislain Bugingo. "Defining AI in Policy versus Practice." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2020): 72–78.
  • 18 Feb 2025
  • News

The Consumer Psychology of Adopting AI

  • 15 Aug 2024
  • News

How AI Can Power Brand Management

  • 27 Mar 2024
  • News

Why Great AI Produces Lazy Humans

  • 05 Dec 2023
  • News

Setting AI Projects Up for Success

  • 15 Aug 2023
  • News

Reskilling in the Age of AI

  • 25 May 2023
  • News

Podcast: How Generative AI Changes Strategy

  • 10 Jan 2020
  • News

Competing in the Age of AI

  • August 13, 2024
  • Editorial

Can AI Save Physicians from Burnout?

By: Susanna Gallani, Lidia Moura and Katie Sonnefeldt
Keywords: Well-being; AI and Machine Learning; Work-Life Balance; Health Industry
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Gallani, Susanna, Lidia Moura, and Katie Sonnefeldt. "Can AI Save Physicians from Burnout?" Harvard Business School Working Knowledge (August 13, 2024).
  • March 2019
  • Teaching Note

Numenta: Inventing and (or) Commercializing AI

By: David B. Yoffie
This teaching notes accompanies the Numenta case, HBS No. 716-469. The focus is how to scale a new artificial intelligence technology, how to build a platform and overcome chicken-or-the-egg problems, and how to utilize open source software and licensing. View Details
Keywords: Artificial Intelligence; Strategy; Information Technology; Technological Innovation; Commercialization; AI and Machine Learning
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Yoffie, David B. "Numenta: Inventing and (or) Commercializing AI." Harvard Business School Teaching Note 719-462, March 2019.
  • 01 Feb 2021
  • News

Confidence, uncertainty, and trust in AI affect how humans make decisions

  • August 2023
  • Case

The Ethical Tightrope: When to Disclose the AI Shortcut

By: David G. Fubini, William Fubini and Patrick Sanguineti
In this short vignette on ethics in consulting, John Child, a new Associate at a prestigious firm who is eager to impress, decides to use an AI tool to expedite his analysis and craft his presentation due to a short project timeframe. Feeling uneasy about his decision... View Details
Keywords: Ethics; Personal Development and Career; Decisions; Consulting Industry
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Fubini, David G., William Fubini, and Patrick Sanguineti. "The Ethical Tightrope: When to Disclose the AI Shortcut." Harvard Business School Case 424-011, August 2023.
  • 12 Apr 2023
  • News

Using AI to Adjust Your Marketing and Sales in a Volatile World

  • June 2016 (Revised August 2019)
  • Case

Numenta: Inventing and (or) Commercializing AI

By: David B. Yoffie, Liz Kind and David Ben Shimol
In March 2016, Donna Dubinsky (co-founder and CEO) and Jeff Hawkins (co-founder) were struggling with a key question: Could Numenta be successful in both creating fundamental technology and building a commercial business? Located in Redwood City, CA, Numenta was... View Details
Keywords: Artificial Intelligence; Machine Intelligence; Machine Learning; Strategy; Business Model; Entrepreneurship; Information; Technological Innovation; Research; Research and Development; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Commercialization; AI and Machine Learning
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Yoffie, David B., Liz Kind, and David Ben Shimol. "Numenta: Inventing and (or) Commercializing AI." Harvard Business School Case 716-469, June 2016. (Revised August 2019.)
  • 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.
  • 24 Sep 2021
  • News

AI Use in Hiring Means Women with Employment Gaps Get Overlooked

  • 09 Jan 2020
  • Book

Rethinking Business Strategy in the Age of AI

years." Companies are forecast to spend $98 billion on AI worldwide in 2023 compared to $38 billion in 2019. While the money may be flowing, few companies have figured out the best way to harness AI while... View Details
Keywords: by Dina Gerdeman
  • 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
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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–December 2022
  • Article

Can AI Really Help You Sell?: It Can, Depending on When and How You Implement It

By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer
Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products... View Details
Keywords: Sales; AI and Machine Learning; Customers
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Dickie, Jim, Boris Groysberg, Benson P. Shapiro, and Barry Trailer. "Can AI Really Help You Sell? It Can, Depending on When and How You Implement It." Harvard Business Review 100, no. 6 (November–December 2022): 120–129.
  • 23 Sep 2021
  • News

AI Use in Hiring Means Women with Employment Gaps Get Overlooked

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