Publications

Educators

Web

Marketing - Doctoral

problems. The program requires a minimum of 13 semester-long doctoral courses. Students in the Marketing program are required to complete a year-long discipline sequence typically in microeconomics or psychology. They also complete courses in the areas of View Details

May 2025
Teaching Note

The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation

By: Tsedal Neeley

Teaching Note for HBS Case No. 425-720. Florian Hillen, co-founder and CEO of VideaHealth, a startup using artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. This AI factory,... View Details

Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technological Innovation; Technology Adoption; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States

January 2025
Supplement

The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (B)

By: Tsedal Neeley, Levi Stroud, Ruth Page and Dave Habeeb

Pre-abstract: This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the (B) Case videos available to students, as they may reveal key case details.

Abstract: Florian Hillen, co-founder... View Details

Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States

January 2025
Case

The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (A)

By: Tsedal Neeley, Levi Stroud, Ruth Page and Dave Habeeb

Pre-abstract: This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the (B) Case videos available to students, as they may reveal key case details.

Abstract: Florian Hillen, co-founder... View Details

Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States

Educators

March 2023
Teaching Note

VideaHealth: Building the AI Factory

By: Karim R. Lakhani

Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian... View Details

Keywords: AI and Machine Learning; Applications and Software; Business Model; Marketing Strategy; Product Development; Health Industry; Technology Industry

September–October 2024
Article

The Crowdless Future? Generative AI and Creative Problem-Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani

The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details

Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation

09 Jan 2024
In Practice

Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

is human ingenuity—fueled by unique experiences and bespoke skills—that holds the key to the most creative and unprecedented solutions, our study indicates. The future lies not in human versus machine View Details

Keywords: by Rachel Layne; Information Technology

2022
Working Paper

The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives

By: Ariel Dora Stern

For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details

Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry

Find at Harvard

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

SSRN

Article

Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting

By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan

Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial... View Details

Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning

Find at Harvard

Web

Research Computing Services

Personalized support for the HBS community on topics ranging from AI & advanced statistical analyses to high performance computing. Services Statistical & Data Services RCS provides consulting services and assistance for HBS faculty research projects on such topics as... View Details

Web

Marketing - Faculty & Research

humanized AI more harshly, and become outraged by programmed preferences—will limit the damage caused by AI failures. Keywords: AI and Machine Learning ; Brands and Branding ; Product Marketing ; Consumer Behavior ; Attitudes Citation... View Details

2025
Working Paper

Generative AI and the Nature of Work

By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu

Recent advances in artificial intelligence (AI) technology demonstrate a considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid... View Details

Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor

SSRN

Web

Blavatnik Fellowship in Life Science Entrepreneurship - Health Care

CEO of KiraGen Bio, a biotech company that utilizes machine learning-driven multiplex gene editing to engineer CAR-T cells that can resist the immunosuppressive effects of solid tumor microenvironments. With extensive experience in the... View Details

Forthcoming
Article

Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment

By: Shunyuan Zhang and Das Narayandas

We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details

Keywords: AI and Machine Learning; Customer Focus and Relationships; Performance Efficiency

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