2026-09-19T08:07:08Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1245942022-01-31T19:19:50Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Geoffrey G. Parker.
Kansu, Hazal Mine.
Massachusetts Institute of Technology. Institute for Data, Systems, and Society.
Technology and Policy Program.
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Technology and Policy Program
Massachusetts Institute of Technology. Engineering Systems Division
2020-04-13T18:33:36Z
2020-04-13T18:33:36Z
2019
2019
https://hdl.handle.net/1721.1/124594
1149091931
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 72-76).
Recent developments in machine learning (ML) have persuaded researchers that automated technologies without human intervention may transform occupations across the economy. My research seeks to assess how and where ML will affect the workforce. I extend the ideas of Brynjolfsson, Mitchell, and Rock (2018), who assess each task in the economy for its Suitability for Machine Learning (SML). This paper builds on their summary statistics to provide a more detailed analysis of where ML is likely to have its greatest impact in the economy. Combining their technological suitability data with labor market data, this paper suggests a policy model for better planning labor mobility and allocation of human resources in the face of upcoming technological changes.
by Hazal Mine Kansu.
S.M. in Technology and Policy
S.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society
76 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Institute for Data, Systems, and Society.
Technology and Policy Program.
Artificial intelligence impact on occupations and workforce
Thesis
application/pdf
2020-04-13T18:33:07Z
Publication
Master
ESD
IDSS
unknown
unknown
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