Artificial intelligence and job automation. an EU analysis using online job vacancy data.

Autor/in	Pouliakas, Konstantinos
Institution	European Centre for the Development of Vocational Training
Titel	Artificial intelligence and job automation. an EU analysis using online job vacancy data. Gefälligkeitsübersetzung: Künstliche Intelligenz und Arbeitsplatzautomatisierung: eine EU-Analyse anhand von Online-Stellenangebotsdaten.
Quelle	Luxembourg: Publications Office of the European Union (2021), 54 S. PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2) Link als defekt meldenVerfügbarkeit
Reihe	CEDEFOP working paper series. 2021,06
Beigaben	Illustrationen
Sprache	englisch
Dokumenttyp	online; Monografie
ISBN	978-92-896-3275-1
DOI	10.2801/305373
Schlagwörter	Künstliche Intelligenz; Computerprogramm; Substitution; Automatisierung; Beschäftigungseffekt; Berufliche Qualifikation; Berufsgruppe; Qualifikationsanforderung; Tätigkeitsmerkmal; Jobbörse; Arbeitspapier; Auswirkung; Risiko; Europäische Union
Abstract	"Not long before the coronavirus outbreak, fears about artificial intelligence (AI) algorithms and machines resulting in a jobless society were widespread. Concerns have resurfaced in light of the COVID-19 crisis potentially accentuating automation. This study utilises a novel big data set based on online job advertisements - Cedefop's Skills OVATE - with information on the skills and work activities required by EU employers. The data provide insight into the task profiles of detailed occupations faced with higher automation risk or those relying on alternative digital technologies (robots, computer software, AI). The paper explores suitable machine and deep learning models to test how well a parsimonious set of task indicators can predict occupational automatability. Work activities associated with greater occupational automation risk and robot exposure (e.g. inspecting equipment, performing physical activities), typically concentrated in routine or manual jobs, differ from those prominent in occupations with higher AI exposure (e.g. thinking creatively, evaluating standards)." The study refers to the period 2018-2020. (Author's abstract, IAB-Doku)..
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2023/1