Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/232923 
Erscheinungsjahr: 
2021
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 14171
Verlag: 
Institute of Labor Economics (IZA), Bonn
Zusammenfassung: 
Economists' two main theoretical approaches to understanding Artificial Intelligence (AI) impacts have been the task-approach to labor markets and endogenous growth theory. Therefore, the recent integration of the task-approach into an endogenous growth model by Acemoglu and Restrepo (AR) is a useful advance. However, it is subject to the shortcoming that it does not explicitly model AI and its technological feasibility. The AR model focuses on tasks and skills but not on abilities, while abilities better characterize AI services' nature. This paper addresses this shortcoming by elaborating the task-approach with AI abilities for use within endogenous growth models. This more ability-sensitive specification of the task-approach allows for more nuanced and realistic impacts of progress in artificial intelligence (AI) on the economy to be captured.
Schlagwörter: 
Artificial Intelligence
endogenous growth theory
labor economics
mathematical models
JEL: 
O47
O33
J24
E21
E25
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
302.92 kB





Publikationen in EconStor sind urheberrechtlich geschützt.