IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-3-030-66913-3_9.html
   My bibliography  Save this book chapter

Ethical Best Practice Applying AI in a Socially Sensible Manner

In: AI for the Good

Author

Listed:
  • Stefan H. Vieweg

    (RFH - University of Applied Sciences Cologne)

Abstract

This chapter—a real-life case—tells the story about a mid-sized industrial company’s CEO who initially did not see the advantage of AI. He is challenged by the AI evangelist Florian Schild, cofounder of the German Federal Association for Artificial Intelligence and cofounder of boot.AI. Not only does the CEO learn from a test setting that even with minimal data (it does not always have to be just big data) you can increase efficiency through the use of AI technology, he also makes a tough call by NOT laying off redundant workers … New options for ethical business decisions that emerge from AI technology are shown. Therefore, societal implications of technology are reflected in a historical context. With an inductive approach it is demonstrated how ethical sound solution can be found in applying AI technologies that respects non-technical limitations. It requires to address the consequences (AI-based) automation has on society, as more and more people tend and need to go for cognitive jobs based on academic education.

Suggested Citation

  • Stefan H. Vieweg, 2021. "Ethical Best Practice Applying AI in a Socially Sensible Manner," Management for Professionals, in: Stefan H. Vieweg (ed.), AI for the Good, edition 1, chapter 9, pages 177-190, Springer.
  • Handle: RePEc:spr:mgmchp:978-3-030-66913-3_9
    DOI: 10.1007/978-3-030-66913-3_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:mgmchp:978-3-030-66913-3_9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.