IDEAS home Printed from https://ideas.repec.org/a/aza/airwa0/y2022v2i1p37-48.html
   My bibliography  Save this article

High-impact AI: How to achieve business goals while making the world a better place

Author

Listed:
  • Griffin, Michael

    (Chief Data Scientist, Insight, USA)

  • Kotvis, Hailey

    (Associate Software Engineer, Insight, USA)

  • Miner, Josephine

    (Data and Artificial Intelligence Intern, Insight, USA)

  • Poulsen, Kayla

    (Data and Artificial Intelligence Intern, Insight, USA)

Abstract

A vast amount of wealth has been generated by the explosive growth of artificial intelligence (AI)-enabled applications, and that wealth generation is accelerating. This paper describes how both monetary and non-monetary wealth — the kind of wealth that makes the world a better place — can be generated by the same intelligent application. The paper introduces the term ‘high-impact AI’, which is the practice of achieving business goals while simultaneously benefiting society. Novel and practical examples of achieving this lofty goal are described in the areas of manufacturing, where AI-powered software enables people with disabilities to perform jobs they would otherwise not be qualified to perform; healthcare, where the incredible complexity of practising medicine has been simplified to potentially improve the health and prolong the lives of millions of people; and psychology, where a tremendous variety of human interactions can be quantified and optimised in real time to assist strengthening and enhancing relationships of all kinds. Finally, this paper makes the case that practising high-impact AI will help businesses attract and retain talented people by giving them meaningful work that matters.

Suggested Citation

  • Griffin, Michael & Kotvis, Hailey & Miner, Josephine & Poulsen, Kayla, 2022. "High-impact AI: How to achieve business goals while making the world a better place," Journal of AI, Robotics & Workplace Automation, Henry Stewart Publications, vol. 2(1), pages 37-48, September.
    • Handle: RePEc:aza:airwa0:y:2022:v:2:i:1:p:37-48
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/7360/download/
    Download Restriction: Requires a paid subscription for full access.
    File URL: https://hstalks.com/article/7360/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    ethical artificial intelligence (AI); assisted communication; manufacturing; healthcare; psychology; enhanced order fulfilment; automated inventorying;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • G2 - Financial Economics - - Financial Institutions and Services

    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:aza:airwa0:y:2022:v:2:i:1:p:37-48. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.