IDEAS home Printed from https://ideas.repec.org/a/taf/cposxx/v47y2026i2p236-248.html

Toward responsible artificial intelligence in health: regulatory structures and power dynamics of the big tech industry in the United States

Author

Listed:
  • Remziye Zaim
  • James A. Shaw

Abstract

Artificial intelligence (AI) offers potential strategies to address existing challenges facing health systems in the United States (U.S.). However, the development of the AI market for health care over the past decade also poses risks to public value in the short- and long-term. In this commentary, we describe the nature of large technology companies’ interface with health care in the U.S., outlining their roles in the context of their leadership in the platform economy. First, we describe the risks associated with the potential dominance of Big Tech companies in healthcare and outline the short-term context for regulating AI as it relates to Big Tech’s role in healthcare. We then explore the possibilities of regulatory approaches that might encourage the anticipation of risks and enforcement of responsible technology practices while retaining the goal of enhancing public value as a primary aim of healthcare policy.

Suggested Citation

  • Remziye Zaim & James A. Shaw, 2026. "Toward responsible artificial intelligence in health: regulatory structures and power dynamics of the big tech industry in the United States," Policy Studies, Taylor & Francis Journals, vol. 47(2), pages 236-248, March.
    • Handle: RePEc:taf:cposxx:v:47:y:2026:i:2:p:236-248
    DOI: 10.1080/01442872.2024.2400922
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01442872.2024.2400922
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01442872.2024.2400922?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:taf:cposxx:v:47:y:2026:i:2:p:236-248. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/cpos .

    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.