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Show Results For
- All HBS Web
(1,194)
- People (1)
- News (232)
- Research (675)
- Events (17)
- Multimedia (8)
- Faculty Publications (560)
- June 2019
- Teaching Note
Zebra Medical Vision
By: Shane Greenstein and Sarah Gulick
Teaching note is meant to accompany Zebra Medical Vision case, which offers a look at a company’s decisions as a small startup competing with other startups and major technology companies. It also demonstrates the challenges faced by a machine learning company working... View Details
Jenny Wang
Jenny Shan Wang is a doctoral student in the Technology and Operations Management program at Harvard Business School (HBS). She is broadly interested in interpretable machine learning (ML), identity and inequality, and improving existing methods... View Details
- 17 Jun 2021
- News
Too Few Women Get to Invent – That’s a Problem for Women’s Health
- 20 Sep 2014
- News
Making Big Data Think Bigger
- 28 May 2019
- News
Alumni and Faculty Books for June 2019
access to the CIA, makes it his mission to track him down. He begins a jet-setting search for answers as the clock ticks down to a climactic event that threatens NATO and the security of member nations. Through his connections, Reilly... View Details
- 07 Feb 2022
- Research & Ideas
Digital Transformation: A New Roadmap for Success
companies. While they agreed that leaders urgently needed to expand their knowledge, they didn’t see eye to eye on what digital literacy means. A few argued that leaders should understand data analytics and View Details
- November 2, 2021
- Article
The Cultural Benefits of Artificial Intelligence in the Enterprise
By: Sam Ransbotham, François Candelon, David Kiron, Burt LaFountain and Shervin Khodabandeh
The 2021 MIT SMR-BCG report identifies a wide range of AI-related cultural benefits at both the team and organizational levels. Whether it’s reconsidering business assumptions or empowering teams, managing the dynamics across culture, AI use, and organizational... View Details
Ransbotham, Sam, François Candelon, David Kiron, Burt LaFountain, and Shervin Khodabandeh. "The Cultural Benefits of Artificial Intelligence in the Enterprise." MIT Sloan Management Review, Big Ideas Artificial Intelligence and Business Strategy Initiative (website) (November 2, 2021). (Findings from the 2021 Artificial Intelligence and Business Strategy Global Executive Study and Research Project.)
- 10 Mar 2021
- News
New Releases: Alumni and Faculty Books, Podcasts
the world’s biggest problem—CO2 and climate change—provides a quick and entertaining introduction to the science behind it. This concise primer is for anyone interested in how CO2 impacts our climate, but... View Details
- 09 Apr 2024
- Research & Ideas
When Climate Goals, Housing Policy, and Corporate R&D Collide, Social Good Can Emerge
For almost four years, Omar Asensio and his colleagues have been studying the impact of federal energy programs on low-income neighborhoods. The intersection of technology—artificial intelligence, in particular—and public policy has long been an area of focus for... View Details
Keywords: by Glen Justice
- 19 Oct 2021
- HBS Seminar
Cynthia Rudin, Duke University
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- November 2022 (Revised March 2024)
- Case
Replika AI: Monetizing a Chatbot
By: Julian De Freitas and Nicole Tempest Keller
In early 2018, Eugenia Kuyda, co-founder and CEO of San Francisco-based chatbot Replika AI, was deciding how to monetize the app she had built. Launched in 2017, Replika was a consumer AI “companion app” developed by a team of AI software engineers originally based in... View Details
Keywords: Mental Health; Subscriber Models; TAM; Monetization Strategy; Marketing Strategy; Product Marketing; AI and Machine Learning; Applications and Software; Product Positioning; Health Disorders; Technology Industry
De Freitas, Julian, and Nicole Tempest Keller. "Replika AI: Monetizing a Chatbot." Harvard Business School Case 523-016, November 2022. (Revised March 2024.)
Tsedal Neeley
Tsedal Neeley is the Naylor Fitzhugh Professor of Business Administration, Senior Associate Dean of Faculty Development and Research, and Faculty Chair of the Christensen Center for Teaching... View Details
- 08 Feb 2016
- Research & Ideas
The Civic Benefits of Google Street View and Yelp
Naik’s images with household income levels for some 2,400 blocks, provided by the city online. “The incomes act as labels for the images, and then the machine learns the... View Details
- 08 May 2025
- Blog Post
Startup Roots and Engineering Ambitions: Lizzie Matusov (MS/MBA 2022)
friction in development processes—translating to $85 billion in lost global GDP. Quotient discovers the top areas of friction that slow down engineering teams, and leverages AI to resolve it directly. Did... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
- 14 Apr 2022
- News
Developing a Digital Mindset
- December 2024 (Revised January 2025)
- Technical Note
A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)
By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney
A note on the vocabulary, evolution, and impact of AI. View Details
Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry
Greenstein, Shane, Nathaniel Lovin, Scott Wallsten, Kerry Herman, and Susan Pinckney. "A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)." Harvard Business School Technical Note 625-039, December 2024. (Revised January 2025.)
- January 2025 (Revised April 2025)
- Case
Duolingo: On a 'Streak'
By: Jeffrey F. Rayport, Nicole Tempest Keller and Nicole Luo
In December 2024, Severin Hacker, Co-Founder and Chief Technology Officer of Duolingo, reflected on the remarkable evolution of the language-learning app he helped launch in 2011. As the #1 most downloaded education app in the world, Duolingo had over 100 million... View Details
Keywords: Learning; AI and Machine Learning; Growth and Development Strategy; Motivation and Incentives; Diversification; Business Model; Market Entry and Exit; Technology Industry; Education Industry; United States
Rayport, Jeffrey F., Nicole Tempest Keller, and Nicole Luo. "Duolingo: On a 'Streak'." Harvard Business School Case 825-097, January 2025. (Revised April 2025.)