Faculty
Kate Kellogg is the David J. McGrath Jr Professor of Management and Innovation, a Professor of Business Administration at the MIT Sloan School of Management.
Kate's research focuses on helping knowledge workers and organizations develop and implement Predictive and Generative AI products, on-the-ground in everyday work, to improve decision making, collaboration, and learning. She shows how organizations can gain user acceptance and effective use of intelligent products and services by including users in the technology design process, providing training to give employees the skills they need to work with intelligent technologies, and designing the technologies with employees in mind.
She has authored dozens of articles that have appeared in top journals across the fields of management, organization studies, healthcare, sociology, work and employment, and information systems research. Her research has won awards from the Academy of Management, the American Sociological Association, the Alfred P. Sloan Foundation, the Institute for Operations Research and the Management Sciences, and the National Science Foundation.
Over the past decade, Kate has partnered with for-profit and not-for-profit organizations to help improve collaboration among diverse experts, use technologies to improve internal knowledge sharing, and manage the human aspects of new technology implementation in order to thrive in fast-paced and uncertain contexts.
Before coming to MIT Sloan, Kate worked as a management consultant for Bain & Company and for Health Advances. She received her PhD in organization studies from MIT, her MBA from Harvard, and her BA from Dartmouth in biology and psychology.
Featured Publication
"Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality."Dell'Acqua, Fabrizio, Edward McFowland, Ethan R. Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. Harvard Business School Technology & Operations Mgt. Unit Working Paper, (24-013), Working Paper. September 2023. MIT Sloan Ideas Made to Matter Article.
Featured Publication
"AI on the Front Lines."Kellogg, Katherine C., Mark Sendak, and Suresh Balu. MIT Sloan Management Review, May 4, 2022.
Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan R. Mollick, Fabrizio Dell'Acqua, Edward McFowland III, Francois Candelon, and Karim R. Lakhani, Working Paper. June 2024. MIT Sloan Press Release.
Kim, Jee Young, Alifia Hasan, Katherine C. Kellogg, et al. PLOS Digital Health Vol. 3, No. 5 (2024): e0000390.
Armstrong, Ben, Kate Kellogg, Retsef Levi, Julie Shah, and Batia Wiesenfeld. An MIT Exploration of Generative AI, March 2024.
Wang, Samantha M., H.D. Jeffry Hogg, Devdutta Sangvai, Manesh R. Patel, E. Hope Weissler, Katherine C. Kellogg, William Ratliff, Suresh Balu, and Mark Sendak. JIMR Formative Research, September 2023.
Kate Kellogg studies the implementation of narrow AI — AI systems designed to perform specific tasks — as well as generative AI, among frontline knowledge workers. She’s exploring the barriers to AI implementation and the mechanisms for addressing them.
From MIT Sloan experts, innovative ideas for using artificial intelligence to solve critical business problems and deliver on strategy.
When it comes to emerging technologies, junior employees may not be the best teachers of their more senior colleagues.
Generative AI's speed of development is limiting the ability of junior employees to coach senior employees, since they can't keep up themselves.
We asked 8 MIT Sloan faculty members about their new projects and what they see as the most exciting — and concerning — aspects of the AI boom.
"This paper is reporting the main effect ... junior professionals were not going to be the clear answer here in terms of training."
