Automated text analysis in human resources selection – areas of potential and limitations

Coverbild: BWP 3/2019
Author
Issue/Year (Volume) 3/2019 (48)
Page(s) 27-29
Language(s)
    englisch

Today, companies are able to use algorithms to make a pre-selection of job applications received. They also use automated text analysis procedures based on artificial intelligence. However, the routines that lie behind this process are unclear and may have an undesired discriminatory effect. This article presents the results of a project which investigated the prejudice of German language analysis systems.

Quote
BWP citation style
Simbeck, K., Folkerts, F.; Riazy, S.: Automated text analysis in human resources selection – areas of potential and limitations. In: BWP 48 (2019) 3 , S. 27-29. URL: https://www.bwp-zeitschrift.de/dienst/publikationen/en/10110
APA citation style
Simbeck, K., Folkerts, F. & Riazy, S. (2019). Automated text analysis in human resources selection – areas of potential and limitations. Bonn: Franz Steiner Verlag

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The Federal Institute for Vocational Education and Training is an independent federal institution established under public law.