IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-031-73514-1_9.html
   My bibliography  Save this book chapter

AI for the Built Environment: An Opportunity to Improve Safety, Efficiency, and Sustainability

Author

Listed:
  • Giulia Scagliotti

    (Stanford University)

  • Ashwin Agrawal

    (Stanford University)

  • Martin A. Fischer

    (Stanford University)

Abstract

The Architecture, Engineering, Construction and Operation (AECO) industry suffers from problems such as lack of safety and sustainability, inefficiency, and labor shortage, which can be mitigated by the adoption of solutions based on artificial intelligence (AI) that automate tasks traditionally performed by humans. However, while planning the adoption of AI-driven solutions, AECO professionals often lack knowledge of what can be automated and encounter difficulties in setting goals and defining a digital strategy that integrates automation with manual work. To assist professionals, we propose a two-dimensional conceptual framework for determining the roles played by AI-driven solutions, their level of automation, and the roles that suit humans best. We analyze potential AI applications in AECO to explain how to use the framework and show the variety of AI development opportunities in this industry. The aim of the framework is to facilitate structured discussion and communication between professionals to plan the development of AI applications that have more chance to succeed and can help overcome AECO industry’s long-standing challenges.

Suggested Citation

  • Giulia Scagliotti & Ashwin Agrawal & Martin A. Fischer, 2024. "AI for the Built Environment: An Opportunity to Improve Safety, Efficiency, and Sustainability," Progress in IS,, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-73514-1_9
    DOI: 10.1007/978-3-031-73514-1_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.

    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:978-3-031-73514-1_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.