AutorIn 1: | ||||
Sytsma, Tobias | ||||
AutorIn 2: | ||||
Sousa, Éder M. | ||||
HerausgeberIn 1: | ||||
RAND Corporation | ||||
Titel: | ||||
Artificial Intelligence and the Labor Force | ||||
Untertitel: | ||||
A Data-Driven Approach to Identifying Exposed Occupations | ||||
Ort: | ||||
Santa Monica, CA | ||||
Verlag: | ||||
RAND Corporation | ||||
Jahr: | ||||
2023 | ||||
Abstract: | ||||
"(...) The rapid development of artificial intelligence (AI) has the potential to revolutionize the labor force with new
generative AI tools that are projected to contribute trillions of dollars to the global economy by 2040.
However, this opportunity comes with concerns about the impact of AI on workers and labor markets. As AI technology
continues to evolve, there is a growing need for research to understand its implications for workers, firms, and
markets. In this report, we aim to address this pressing need by exploring the relationship between occupational
exposure and AI-related technologies, wages, and employment. (...)" [Arbeitsforschung, Berufsforschung, Arbeitssoziologie, Berufssoziologie, Arbeitswelt, Arbeitsorganisation, Berufsbildungsforschung, IKT, Informations- und Kommunikationstechnologien, Technologisierung, Automatisierung, Rationalisierung, Künstliche Intelligenz, Artificial Intelligence, Digitalisierung, Human Kapital, Human Resources] | ||||
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