IDEAS home Printed from https://ideas.repec.org/h/spr/recchp/978-3-031-25023-1_4.html
   My bibliography  Save this book chapter

Contextualisation of Relational AI Governance in Existing Research

In: The Relational Governance of Artificial Intelligence

Author

Listed:
  • Sabine Wiesmüller

    (Zeppelin University)

Abstract

This chapter reports a systematic literature review on private-sector AI governance to position the conceptual contribution of this book in existing research and highlight its potential connectivity to further advances in the research discipline. Thereafter, Relational AI Governance is discussed according to the literature review’s findings. To do so, I proceed to present the methodology applied, describing the research design and the formulation of the review process, as well as keywords used in the review process and selection criteria for the data retrieval. Subsequently, the review findings are analysed descriptively and examined according to the research stream they stem from. Lastly, publications correlating with this book’s scope are selected for an in-depth analysis, with its findings being interpreted in the light of its conceptual contribution. With this, I aim to complement my conceptual contribution with empirical findings and, thereby, strengthen the validity of the Relational AI Governance model.

Suggested Citation

  • Sabine Wiesmüller, 2023. "Contextualisation of Relational AI Governance in Existing Research," Relational Economics and Organization Governance, in: The Relational Governance of Artificial Intelligence, chapter 0, pages 165-212, Springer.
    • Handle: RePEc:spr:recchp:978-3-031-25023-1_4
    DOI: 10.1007/978-3-031-25023-1_4
    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.

    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:spr:recchp:978-3-031-25023-1_4. 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.