IDEAS home Printed from https://ideas.repec.org/a/lap/proyec/30.html
   My bibliography  Save this article

Auditoría algorítmica en la inteligencia artificial en el Sector Público

Author

Listed:
  • Eva María Mota Sánchez

    (Universidad de Navarra. España.)

  • Esther Herrera Expósito

    (Universidad de Córdoba-España.)

Abstract

Research under the scope of economic sciences permanently inte-racts with other sciences and disciplines. Undoubtedly, new tech-nologies have a strong impact on issues such as: recognition, va-luation and exposure of intangible assets and contingent liabilities; financial, performance, algorithmic, IT audit, etc.; public agencies management, etc.Within this framework, this research aims to carry out a preliminary study of the literature on artificial intelligence, intellectual property and algorithmic audit, and it is structured as follows: -1. Introduc-tion, - 2. Artificial intelligence and algorithms: algorithmic audit. Constituent- 3. Intellectual Property in Algorithms: Reports. - 4. Fi-nal considerations. - 5. References.

Suggested Citation

  • Eva María Mota Sánchez & Esther Herrera Expósito, 2022. "Auditoría algorítmica en la inteligencia artificial en el Sector Público," Proyecciones, IIEC, Univeridad Nacional de La Plata., Instituto de Investigaciones y Estudios Contables, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, issue 17, pages 01-08, May-April.
  • Handle: RePEc:lap:proyec:30
    DOI: https://doi.org/10.24215/26185474e025
    as

    Download full text from publisher

    File URL: https://revistas.unlp.edu.ar/proyecciones/article/view/14782
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.24215/26185474e025?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
    ---><---

    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:lap:proyec:30. 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: Gisela Büechele (email available below). General contact details of provider: https://edirc.repec.org/data/ounlpar.html .

    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.