IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-031-83512-4_6.html
   My bibliography  Save this book chapter

Reasoning with AI: Six Essential Factors for Augmenting Human Expertise in the Workplace

Author

Listed:
  • Sean Koon

    (Kaiser Permanente)

Abstract

This chapter examines the possibilities and challenges of augmenting expert reasoning in complex, high-risk work settings like healthcare, the judicial system, engineering, military defense, public safety, and more. While AI-augmented reasoning has immense potential in such domains, there is no clear developmental pathway for how such tools should be designed. AI is problematic because it does not follow a human reasoning process nor collaborate as humans do. It can lack transparency and consistency, and its inconsistent outputs can cause unreasonable errors. These characteristics of AI make it potentially incompatible with human experts and the accountabilities of their domain. Creating reliable methods to integrate AI and human participation in reasoning tasks remains an open question. Toward this aim, this chapter presents six factors as foundational considerations for studying and designing tools for AI-augmented human reasoning. The factors include contextual adaptation; situated accountability; roles, boundaries, and interdependencies; domain-specific reasoning strategies; new interaction modes; and shared knowledge and values.

Suggested Citation

  • Sean Koon, 2025. "Reasoning with AI: Six Essential Factors for Augmenting Human Expertise in the Workplace," Progress in IS,, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-83512-4_6
    DOI: 10.1007/978-3-031-83512-4_6
    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:prochp:978-3-031-83512-4_6. 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.