IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-65514-2_5.html
   My bibliography  Save this book chapter

What Can Get Wrong?

In: Generative Artificial Intelligence

Author

Listed:
  • Mitja Kovač

    (University of Ljubljana)

Abstract

The newest generation of generative AI agents may learn to gang up and cooperate against humans, without communicating or being told to do so. Sophisticated generative AI agents even collude to raise prices instead of competing to create better deals and they do decide to gouge their customers and humans. This chapter shows that generative AI systems might be used towards undesirable ends, the use of AI systems might result in a loss of accountability and the ultimate, unregulated success of AI might mean the end of the human race. Moreover, this chapter also suggests that the main issue related to the generative AI is not their consciousness but rather their competence to cause harm and hazards.

Suggested Citation

  • Mitja Kovač, 2024. "What Can Get Wrong?," Springer Books, in: Generative Artificial Intelligence, chapter 0, pages 85-98, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-65514-2_5
    DOI: 10.1007/978-3-031-65514-2_5
    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:sprchp:978-3-031-65514-2_5. 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.