Exploring Gender Disparities in the Era of AI.

Autor/inn/en	Fornasari, Tommaso; Bannò, Mariasole
Titel	Exploring Gender Disparities in the Era of AI. Gefälligkeitsübersetzung: Erforschung der Geschlechterunterschiede im Zeitalter der KI.
Quelle	Aus: Agostini, Marisa (Hrsg.); Beretta, Valentina (Hrsg.); Ghio, Alessandro (Hrsg.); Trucco, Sara (Hrsg.); Demartini, Maria Chiara (Hrsg.): Diversity and Equity in Accounting. Emerging Issues, Challenges and Opportunities. (2025) S. 203-214 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISBN	978-3-031-78246-6; 978-3-031-78247-3
DOI	10.1007/978-3-031-78247-3_14
Schlagwörter	Kompetenz; Frau; Geschlechtsspezifischer Unterschied; Künstliche Intelligenz; MINT-Fächer; Qualifikationsanforderung; MINT-Beruf
Abstract	"This chapter investigates the gender disparities in the impact of artificial intelligence (AI) within the accounting profession, focusing on both the potential risks and benefits that AI presents. Automation technologies, including AI, have rapidly advanced, significantly altering the landscape of work across various industries. The integration of AI into the workforce raises concerns about widespread job displacement, particularly affecting both low-skill and high-skill positions. Our research aims to address the underexplored area of how AI impacts gender disparities in the workplace, specifically within the accounting field. Through qualitative methods, including in-depth interviews with diverse stakeholders, we analyze the risks and opportunities AI presents for women compared to men. The study seeks to uncover workforce inequalities and understand the gender-specific implications of AI, highlighting the need for equitable access to training and resources to ensure both men and women can thrive in an AI-driven work environment. The findings reveal that AI implementation can result in both positive and negative outcomes, influencing employment patterns and job satisfaction. While AI can enhance efficiency and productivity, it also poses risks such as job displacement and increased stress due to work insecurity. The gender disparity in STEM education exacerbates these issues, as women are underrepresented in fields that are crucial for AI-related job opportunities. The chapter emphasizes the importance of proactive measures, including targeted educational programs and inclusive policies, to mitigate the adverse impacts of AI and promote gender equality in the evolving job market." (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2026/4