AI and the future of work: What we know today

To contribute to a better understanding of the contemporary realities of AI workplace deployments, the authors recently completed 29 case studies of people doing their everyday work with AI-enabled smart machines. Twenty-three of these examples were from North America, mostly in the US. Six were fro...

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Main Authors: MILLER, Steven M., DAVENPORT, Thomas H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/sis_research/6657
https://ink.library.smu.edu.sg/context/sis_research/article/7660/viewcontent/AI_FutureWork_2020_Gradient_av.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-76602023-07-17T08:10:02Z AI and the future of work: What we know today MILLER, Steven M. DAVENPORT, Thomas H. To contribute to a better understanding of the contemporary realities of AI workplace deployments, the authors recently completed 29 case studies of people doing their everyday work with AI-enabled smart machines. Twenty-three of these examples were from North America, mostly in the US. Six were from Southeast Asia, mostly in Singapore. In this essay, we compare our findings on job and workplace impacts to those reported in the MIT Task Force on the Work of the Future report, as we consider that to be the most comprehensive recent study on this topic. 2021-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6657 https://ink.library.smu.edu.sg/context/sis_research/article/7660/viewcontent/AI_FutureWork_2020_Gradient_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial intelligence future of work workplace automation Asia United States Artificial Intelligence and Robotics Asian Studies Work, Economy and Organizations
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Artificial intelligence
future of work
workplace automation
Asia
United States
Artificial Intelligence and Robotics
Asian Studies
Work, Economy and Organizations
spellingShingle Artificial intelligence
future of work
workplace automation
Asia
United States
Artificial Intelligence and Robotics
Asian Studies
Work, Economy and Organizations
MILLER, Steven M.
DAVENPORT, Thomas H.
AI and the future of work: What we know today
description To contribute to a better understanding of the contemporary realities of AI workplace deployments, the authors recently completed 29 case studies of people doing their everyday work with AI-enabled smart machines. Twenty-three of these examples were from North America, mostly in the US. Six were from Southeast Asia, mostly in Singapore. In this essay, we compare our findings on job and workplace impacts to those reported in the MIT Task Force on the Work of the Future report, as we consider that to be the most comprehensive recent study on this topic.
format text
author MILLER, Steven M.
DAVENPORT, Thomas H.
author_facet MILLER, Steven M.
DAVENPORT, Thomas H.
author_sort MILLER, Steven M.
title AI and the future of work: What we know today
title_short AI and the future of work: What we know today
title_full AI and the future of work: What we know today
title_fullStr AI and the future of work: What we know today
title_full_unstemmed AI and the future of work: What we know today
title_sort ai and the future of work: what we know today
publisher Institutional Knowledge at Singapore Management University
publishDate 2021
url https://ink.library.smu.edu.sg/sis_research/6657
https://ink.library.smu.edu.sg/context/sis_research/article/7660/viewcontent/AI_FutureWork_2020_Gradient_av.pdf
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