IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-3-031-66115-0_8.html
   My bibliography  Save this book chapter

Generative-AI Pilot for Problem Spaces: Can ChatGPT Help Develop Scenarios?

In: Navigating Uncertainty Using Foresight Intelligence

Author

Listed:
  • Bruce Garvey

    (Strategy Foresight Limited)

  • Adam D. M. Svendsen

    (Norwegian Defence University College (NDUC/FHS))

Abstract

Building on our findings presented in our previous chapters, the purpose of the chapters in PART III, starting with this chapter, Chap. 8, is to investigate the development of Problem Spaces via a Generative-Artificial Intelligence (AI) ‘Pilot’ study. The main research question posed, here, is: ‘Can ChatGPT help develop Scenarios, such as through helping generate the Problem Spaces?’ The problématique is subsequently broken down into a series of different deep-dive sections, thereby yielding further insights into the research work undertaken. Before delving into the main content of this chapter, some background relating to scenarios and Problem Spaces is first presented to help orientate readers as to the AI-focused discussion that follows. Many of the Generative-AI technologies referenced, such as notably ChatGPT, are very new and therefore continue to be subject to much rapid development and other associated changes (See, for example, as discussed in Loukides (2023)). In such circumstances, usual caveats apply as to much being in a condition of substantial flux and several of the insights presented can be expected to morph in their detail over time.

Suggested Citation

  • Bruce Garvey & Adam D. M. Svendsen, 2024. "Generative-AI Pilot for Problem Spaces: Can ChatGPT Help Develop Scenarios?," Management for Professionals, in: Navigating Uncertainty Using Foresight Intelligence, chapter 0, pages 121-137, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-031-66115-0_8
    DOI: 10.1007/978-3-031-66115-0_8
    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:978-3-031-66115-0_8. 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.