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Publications

Publications

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  • All HBS Web  (166)
    • News  (43)
    • Research  (98)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (78)

Show Results For

  • All HBS Web  (166)
    • News  (43)
    • Research  (98)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (78)
← Page 2 of 166 Results →
  • 2024
  • Working Paper

The Wade Test: Generative AI and CEO Communication

By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (Gen-AI) transform the role of the CEO? This study investigates whether Gen-AI can mimic a human CEO and whether employees display aversion to Gen-AI communication. We present a framework of Gen-AI aversion that distinguishes... View Details
Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication
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Choudhury, Prithwiraj, Bart S. Vanneste, and Amirhossein Zohrehvand. "The Wade Test: Generative AI and CEO Communication." Harvard Business School Working Paper, No. 25-008, August 2024. (Revised May 2025.)
  • 26 Mar 2024
  • Research & Ideas

How Humans Outshine AI in Adapting to Change

the flexibility of AI versus humans in adjusting to new situations, the authors set up four video games, outlining certain tasks for humans and several popular game-playing AI View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 17 May 2022
  • Cold Call Podcast

Delivering a Personalized Shopping Experience with AI

Keywords: Re: Jill J. Avery
  • Article

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
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Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
  • 2020
  • Book

Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

By: Marco Iansiti and Karim R. Lakhani
In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very... View Details
Keywords: Artificial Intelligence; Technological Innovation; Change; Competition; Strategy; Leadership; Business Processes; Organizational Change and Adaptation; AI and Machine Learning
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Iansiti, Marco, and Karim R. Lakhani. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Boston: Harvard Business Review Press, 2020.
  • 17 May 2022
  • News

Delivering a Personalized Shopping Experience with AI

  • 25 May 2021
  • Research & Ideas

White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?

Indeed, Zhang’s research found that prior to launching the algorithm in 2015, Airbnb’s white hosts made $12.16 more per day than Black hosts, according to the study, Can an AI View Details
Keywords: by Lane Lambert; Technology; Accommodations
  • 26 Aug 2024
  • Research & Ideas

Can AI Match Human Ingenuity in Creative Problem-Solving?

When ChatGPT and other large language models began entering the mainstream two years ago, it quickly became apparent the technology could excel at certain business functions, yet it was less clear how well artificial intelligence could handle more creative tasks. Sure,... View Details
Keywords: by Michael Blanding; Information Technology; Information; Technology

    Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

    In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very... View Details

    • March 2025
    • Case

    Niramai: An AI Solution to Save Lives

    By: Rembrand Koning, Maria P. Roche and Kairavi Dey
    Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details
    Keywords: Entrepreneurship; AI and Machine Learning; Technology Adoption; Health Care and Treatment; Technology Industry; Health Industry; Asia; India; South Asia
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    Koning, Rembrand, Maria P. Roche, and Kairavi Dey. "Niramai: An AI Solution to Save Lives." Harvard Business School Case 725-439, March 2025.
    • April 2024
    • Article

    A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification

    By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
    Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
    Keywords: Health Disorders; Health Testing and Trials; AI and Machine Learning; Health Industry
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    Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
    • 2023
    • Article

    Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

    By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
    As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
    Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
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    Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
    • August 2021 (Revised November 2024)
    • Case

    Intenseye: Powering Workplace Health and Safety with AI (A)

    By: Michael W. Toffel and Youssef Abdel Aal
    Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye’s... View Details
    Keywords: Privacy; Product Development; Operations; Technological Innovation; Value Creation; Production; Distribution; Safety; Risk and Uncertainty; Technology Industry; Manufacturing Industry; Distribution Industry; Turkey; Middle East; United States
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    Toffel, Michael W., and Youssef Abdel Aal. "Intenseye: Powering Workplace Health and Safety with AI (A)." Harvard Business School Case 622-037, August 2021. (Revised November 2024.)
    • 15 Nov 2018
    • News

    Don’t Be Afraid of AI

    the founding CEO of Palm and the cofounder of Handspring, ushering in two of the tech ages biggest leaps—handheld computing, and the smart phone. So, she's essentially been famously successful by being right about the future. We sat down with Dubinsky to talk about... View Details
    Keywords: Computer Systems Design and Related Services; Professional Services
    • 15 Sep 2020
    • Video

    Competing in the Age of AI and Digital Transformation

    • 8:30 AM – 6:45 PM EDT, 15 Sep 2020
    • Virtual Programming

    Competing in the Age of AI and Digital Transformation

    How are companies today using artificial intelligence (AI) to respond to business challenges? During this session, professors Karim Lakhani and Macro Iansiti, coauthors of the book Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the... View Details
    • 17 Sep 2021
    • News

    AI Can Help Address Inequity — If Companies Earn Users’ Trust

    • Web

    Online AI Course | HBS Online

    Introduction to AI Essentials for Business LIMITED TIME ONLY Extra learning at no extra cost. Enroll now and unlock a GenAI Bonus Bundle featuring complimentary lessons on AI fundamentals. Download our guide... View Details
    • 27 Jun 2024
    • Research & Ideas

    Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge

    engine would begin providing AI summaries of most search queries to users across the United States; Users immediately noted that the AI summaries sometimes included nonsense results. “If it’s allowing a... View Details
    Keywords: by Ben Rand; Technology
    • 09 Jan 2020
    • Book

    Rethinking Business Strategy in the Age of AI

    difference in whether you click on it. The algorithm is trained to pick out the pictures people are more likely to click on. And AI can optimize those images to individual preferences. If I like comedies,... View Details
    Keywords: by Dina Gerdeman
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