What machines can't do (yet) in real work settings

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 evide...

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Bibliographic Details
Main Authors: DAVENPORT, Thomas H., MILLER, Steven M.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/7333
https://ink.library.smu.edu.sg/context/sis_research/article/8336/viewcontent/Davenport_Miller_What_AI_Can_t_Do_2022month10_06_CLEAN_Word_doc_for_SMU_Library_respository_81_.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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