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Evaluation of the Potential of AI to Foster Gender Diversity in Leadership Positions in Germany

Year: 2024

Type: article

Abstract: Women remain underrepresented in leadership positions in Germany. This article explores whether AI could support gender diversity in leadership. After analyzing current diversity data, we identified hurdles for women in leadership from literature. We evaluated AI’s potential to promote gender diversity through examples of AI tools from professional and private life. Four potential areas for AI assistance were identified: i) recruitment, ii) personalized time-management, iii) career development, and iv) networking and mentoring. These AI tools could particularly benefit women by addressing identified obstacles. The literature on this specific topic is limited, making this article a valuable foundation for further research.

Source: Journal of Business Diversity

DOI: 10.33423/jbd.v24i2.7235

Authors: Dina Domrös-Zoungrana, Ana Hernandez, Carolin Crockett, Alisa Bölke, Alma Diaz Ruiz de Zarate, Bettina Lutz, Christian Lenz

Language: English

Topic: Gender Diversity and Inequality

Subfield: Gender Studies

Field: Social Sciences

Domain: Social Sciences

SDGs: Gender equality, Reduced inequalities

Open Access status: bronze

OpenAlex ID: W4402852212

FWCI:

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