The Use of AI-Based Speech Analysis in the Application Process
Patricia Jares () and
Tobias Vogt
Additional contact information
Patricia Jares: CMS Germany
A chapter in Work and AI 2030, 2023, pp 69-76 from Springer
Abstract:
Abstract One of the most common areas of application of AI in the world of work is likely to be the recruitment process. The use of AI-based language analysis can facilitate the tedious screening and filtering of suitable applications by staff (Wherever the grammatically masculine form is used for personal designations, persons of any gender identity are meant.) of the human resources department. This article shows the data protection and anti-discrimination law risks, but also possible solutions for a legally secure use and highlights why the use of AI can even offer an opportunity to reduce discrimination in the application process.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-40232-7_8
Ordering information: This item can be ordered from
http://www.springer.com/9783658402327
DOI: 10.1007/978-3-658-40232-7_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().