IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-49979-1_5.html
   My bibliography  Save this book chapter

Strengthening the Sustainability of Artificial Intelligence: Fostering Green Intelligence for a More Ethical Future

In: Artificial Intelligence for Sustainability

Author

Listed:
  • Lukasz Swiatek

    (The University of New South Wales (UNSW))

Abstract

Significant and ongoing advances in artificial intelligence (AI) are increasingly helping the business sector implement new sustainability initiatives, even though AI brings with it a range of currently unresolved issues, ranging from the exploitative labor practices used to create AI to the discrimination (such as racial discrimination) generated by flawed AI algorithms. The environmental damage caused by AI is also a major concern, as the technology relies on the extraction of scarce resources and enormous amounts of electricity. This chapter argues that the greening of bounded AI needs to be undertaken by the business sector in order to enhance businesses’ sustainability efforts and address the current issues surrounding AI. Businesses are ideally placed to implement bounded AI and to green it in ethical ways. By extension, a failure to green and bound AI will likely result in financial, legal, and reputational damage for companies. A case study of NearMap, a company that provides high-resolution aerial imagery, and the steps that NearMap has taken to green the bounded AI that it has implemented in its operations, is used in the chapter to illustrate this argument.

Suggested Citation

  • Lukasz Swiatek, 2024. "Strengthening the Sustainability of Artificial Intelligence: Fostering Green Intelligence for a More Ethical Future," Springer Books, in: Thomas Walker & Stefan Wendt & Sherif Goubran & Tyler Schwartz (ed.), Artificial Intelligence for Sustainability, chapter 5, pages 83-103, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-49979-1_5
    DOI: 10.1007/978-3-031-49979-1_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:978-3-031-49979-1_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.