IDEAS home Printed from https://ideas.repec.org/b/zbw/hbsedi/450.html
   My bibliography  Save this book

People Analytics muss den Menschen zugutekommen: Eine ethische Analyse datengesteuerter algorithmischer Systeme im Personalmanagement

Author

Listed:
  • Loi, Michele

Abstract

Der Einsatz von Künstlicher Intelligenz im Personalmanagement steckt noch in den Kinderschuhen. Gerade deshalb stellt sich die Frage, wie sie überhaupt zu besseren und faireren Personalentscheidungen beitragen kann. In seinem Gutachten entwickelt Michele Loi von der Universität Zürich Empfehlungen dafür, wie Systeme zum automatisierten Personalmanagement ethisch angemessen eingesetzt werden können. Entscheidend sind guter Datenschutz, fachliche Kompetenz, transparente Verfahren und eine sorgfältige Überprüfung der Auswirkungen automatisierter Entscheidungen.

Suggested Citation

  • Loi, Michele, 2021. "People Analytics muss den Menschen zugutekommen: Eine ethische Analyse datengesteuerter algorithmischer Systeme im Personalmanagement," Study / edition der Hans-Böckler-Stiftung, Hans-Böckler-Stiftung, Düsseldorf, volume 127, number 450.
    • Handle: RePEc:zbw:hbsedi:450
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/233056/1/1755121741.pdf
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:hbsedi:450. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/boeckde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.