• Medientyp: E-Book
  • Titel: Artificial intelligence and workers' well-being
  • Beteiligte: Giuntella, Osea [Verfasser:in]; König, Johannes [Verfasser:in]; Stella, Luca [Verfasser:in]
  • Erschienen: Berlin, Germany: German Socio-Economic Panel (SOEP), DIW Berlin, [2023]
  • Erschienen in: Deutsches Institut für Wirtschaftsforschung: SOEP papers on multidisciplinary panel data research ; 1194
  • Umfang: 1 Online-Ressource (circa 45 Seiten); Illustrationen
  • Sprache: Englisch
  • Identifikator:
  • Schlagwörter: Artificial Intelligence ; Future of Work ; Well-being ; Mental Health ; Graue Literatur
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: This study explores the relationship between artificial intelligence (AI) and workers’ well-being and mental health using longitudinal survey data from Germany (2000-2020). We construct a measure of individual exposure to AI technology based on the occupation in which workers in our sample were first employed and explore an event study design and a difference-in-differences approach to compare AI-exposed and non-exposed workers. Before AI became widely available, there is no evidence of differential pre-trends in workers’ well-being and concerns about their economic futures. Since 2015, however, with the increasing adoption of AI in firms across Germany, we find that AI-exposed workers have become less satisfied with their life and job and more concerned about job security and their personal economic situation. However, we find no evidence of a significant impact of AI on workers’ mental health, anxiety, or depression.
  • Zugangsstatus: Freier Zugang