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AI and Inequality in Hiring and Recruiting: A Field Scan
[conference paper]
This document is a part of the following document:
Proceedings of the Weizenbaum Conference 2023: AI, Big Data, Social Media, and People on the Move
Corporate Editor
Weizenbaum Institute for the Networked Society - The German Internet Institute
Abstract This paper provides a field scan of scholarly work on AI and hiring. It addresses the issue that there still is no comprehensive understanding of how technical, social science, and managerial scholarships around AI bias, recruiting, and inequality in the labor market intersect, particularly vis-à-vi... view more
This paper provides a field scan of scholarly work on AI and hiring. It addresses the issue that there still is no comprehensive understanding of how technical, social science, and managerial scholarships around AI bias, recruiting, and inequality in the labor market intersect, particularly vis-à-vis the STEM field. It reports on a semi-systematic literature review and identifies three overlapping meta themes: productivity, gender, and AI bias. It critically discusses these themes and makes recommendations for future work.... view less
Keywords
artificial intelligence; inequality; gender; labor market; labor; discrimination; human resource management; recruitment
Classification
Labor Market Research
Technology Assessment
Free Keywords
bias
Collection Title
Proceedings of the Weizenbaum Conference 2023: AI, Big Data, Social Media, and People on the Move
Conference
5. Weizenbaum Conference "AI, Big Data, Social Media, and People on the Move". Berlin, 2023
Document language
English
Publication Year
2023
City
Berlin
Page/Pages
p. 1-13
Status
Primary Publication; peer reviewed