IDEAS home Printed from https://ideas.repec.org/a/dbk/multid/v1y2024ip14id1062486agmu202314.html
   My bibliography  Save this article

Benefits of Artificial Intelligence in human talent management

Author

Listed:
  • Julio Cesar Gama Espinosa
  • Lina María Leiva Sánchez
  • Melisa Andrea Fajardo Pereira

Abstract

Human talent and artificial intelligence have been closely related, having a great impact on the performance and productivity of today's organizations. In this research work, we sought to identify the challenges posed by the implementation of artificial intelligence tools in human talent management, such as data privacy, discrimination and automated decision making, through the review of scientific literature, this as the main objective. To develop it, sources of research articles, magazines and previous research carried out on the topic in the last ten years were used, with which it was possible to identify the use of AI for the selection and retention of human talent, the development of skills and skills, in addition to benefiting the well-being of collaborators; but also disadvantages such as its impact on privacy and the growing concern about job replacement. Concluding, to take full advantage of the benefits and minimize the problems associated with AI in human talent, it is necessary to have clear and transparent regulations, encouraging collaboration and development of knowledge in employees and ensuring ethics in the use of AI. within the organization

Suggested Citation

Handle: RePEc:dbk:multid:v:1:y:2024:i::p:14:id:1062486agmu202314
DOI: 10.62486/agmu202314
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

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:dbk:multid:v:1:y:2024:i::p:14:id:1062486agmu202314. 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: Javier Gonzalez-Argote (email available below). General contact details of provider: https://multidisciplinar.ageditor.uy/ .

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.