Volltext herunterladen
(7.460 MB)
Zitationshinweis
Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-87873-4
Export für Ihre Literaturverwaltung
Artificial Intelligence and Employment: New Cross-Country Evidence
[Zeitschriftenartikel]
Abstract Recent years have seen impressive advances in artificial intelligence (AI) and this has stoked renewed concern about the impact of technological progress on the labor market, including on worker displacement. This paper looks at the possible links between AI and employment in a cross-country context... mehr
Recent years have seen impressive advances in artificial intelligence (AI) and this has stoked renewed concern about the impact of technological progress on the labor market, including on worker displacement. This paper looks at the possible links between AI and employment in a cross-country context. It adapts the AI occupational impact measure developed by Felten, Raj and Seamans - an indicator measuring the degree to which occupations rely on abilities in which AI has made the most progress - and extends it to 23 OECD countries. Overall, there appears to be no clear relationship between AI exposure and employment growth. However, in occupations where computer use is high, greater exposure to AI is linked to higher employment growth. The paper also finds suggestive evidence of a negative relationship between AI exposure and growth in average hours worked among occupations where computer use is low. One possible explanation is that partial automation by AI increases productivity directly as well as by shifting the task composition of occupations toward higher value-added tasks. This increase in labor productivity and output counteracts the direct displacement effect of automation through AI for workers with good digital skills, who may find it easier to use AI effectively and shift to non-automatable, higher-value added tasks within their occupations. The opposite could be true for workers with poor digital skills, who may not be able to interact efficiently with AI and thus reap all potential benefits of the technology.... weniger
Thesaurusschlagwörter
künstliche Intelligenz; Beschäftigung; Arbeitsmarkt; technischer Fortschritt; Automatisierung; Produktivität; EU
Klassifikation
Technikfolgenabschätzung
Arbeitsmarktforschung
Industrie- und Betriebssoziologie, Arbeitssoziologie, industrielle Beziehungen
Freie Schlagwörter
EU-LFS; PIAAC
Sprache Dokument
Englisch
Publikationsjahr
2022
Seitenangabe
S. 1-29
Zeitschriftentitel
Frontiers in Artificial Intelligence, 5 (2022)
DOI
https://doi.org/10.3389/frai.2022.832736
ISSN
2624-8212
Status
Veröffentlichungsversion; begutachtet (peer reviewed)