IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v10y2024i5id357.html

Ethical and Legal Considerations in AI-Driven Health Cybersecurity

Author

Listed:
  • Krunal Manilal Gala

Abstract

This article explores the ethical and legal challenges of implementing AI in health cybersecurity. It examines key issues including data privacy, informed consent, algorithmic bias, and balancing innovation with regulation. The rapid growth of AI in healthcare cybersecurity offers significant benefits but also introduces complex risks. The article analyzes data minimization, anonymization, bias mitigation, adaptive regulation, and international cooperation considerations. It presents data on the current landscape and proposes frameworks to address challenges. Overall, the article aims to provide a comprehensive overview of how to harness AI's potential for protecting health data while respecting patient rights and navigating evolving regulatory requirements.

Suggested Citation

  • Krunal Manilal Gala, 2024. "Ethical and Legal Considerations in AI-Driven Health Cybersecurity," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10(5), pages 682-690, October.
    • Handle: RePEc:jbh:ijsrcs:v10:y2024:i5:id:357
    DOI: 10.32628/CSEIT241051059
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT241051059
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT241051059
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT241051059/CSEIT241051059
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT241051059?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:jbh:ijsrcs:v10:y2024:i5:id:357. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.