IDEAS home Printed from https://ideas.repec.org/p/ake/iiepdt/2024-92.html
   My bibliography  Save this paper

Hacia un nuevo esquema de incentivos en el contexto de la inteligencia artificial

Author

Listed:
  • Sandra Maceri

    (Universidad de Buenos Aires. Facultad de Ciencias Económicas. Centro de Investigaciones en Epistemología de las Ciencias Económicas (CIECE). Instituto Interdisciplinario de Economía Política (IIEP). Buenos Aires, Argentina.)

  • Agustín Coll

    (CONICET. Instituto Interdisciplinario de Economía Política (IIEP). Buenos Aires, Argentina.)

Abstract

El trabajo examina la intersección entre IA y teorías de motivación humana, destacando el rol de la motivación intrínseca y el efecto crowding out; se proponen lineamientos para rediseñar incentivos en escenarios de complementariedad o reemplazo del trabajo humano.

Suggested Citation

  • Sandra Maceri & Agustín Coll, 2024. "Hacia un nuevo esquema de incentivos en el contexto de la inteligencia artificial," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2024-92, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
  • Handle: RePEc:ake:iiepdt:2024-92
    as

    Download full text from publisher

    File URL: https://ojs.economicas.uba.ar/DT-IIEP/article/view/3097/3967
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    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:ake:iiepdt:2024-92. 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: IIEP UBA-CONICET (email available below). General contact details of provider: https://edirc.repec.org/data/ieeubar.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.