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

Copyright Owner and License

Authors

Additional URL

https://sloanreview.mit.edu/article/what-machines-cant-do-yet-in-real-work-settings/

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