Publication Type
Journal Article
Version
acceptedVersion
Publication Date
10-2022
Abstract
AI systems may perform well in the research lab or under highly controlled application settings, but they still needed human help in the types of real world work settings we researched for a new book, Working With AI: Real Stories of Human-Machine Collaboration. Human workers were very much in evidence across our 30 case studies. In this article, we use those examples to illustrate our list of AI-enabled activities that still require human assistance. These are activities where organizations need to continue to invest in human capital, and where practitioners can expect job continuity for the immediate future
Keywords
Artificial intelligence, labor force, human work, machines
Discipline
Artificial Intelligence and Robotics | Technology and Innovation
Research Areas
Information Systems and Management
Publication
Sloan Management Review
ISSN
0019-848X
Publisher
MIT Sloan School of Management
Embargo Period
10-5-2022
Citation
DAVENPORT, Thomas H. and MILLER, Steven M..
What machines can't do (yet) in real work settings. (2022). Sloan Management Review.
Available at: https://ink.library.smu.edu.sg/sis_research/7333
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://sloanreview.mit.edu/article/what-machines-cant-do-yet-in-real-work-settings/