IDEAS home Printed from https://ideas.repec.org/a/dbk/rlatia/v2y2024ip11id1062486latia202411.html
   My bibliography  Save this article

Artificial Intelligence as a tool for analysis in Social Sciences: methods and applications

Author

Listed:
  • Marena de la C. Hernández-Lugo

Abstract

Artificial Intelligence (AI) transforms the social sciences by providing new methodologies and tools for data analysis. This article was based on a comprehensive literature review that analyzed the role of artificial intelligence as an analytical tool in the social sciences. It was observed that the ability of AI to process text, images, and audio in an integrated manner allows researchers to address complex problems with greater accuracy and efficiency. Multimodal tools facilitate the analysis of large volumes of data, the interpretation of financial documents, and the evaluation of facial expressions, which improves decision making in social research. Specialized databases offer access to a wide range of AI tools that optimize tasks such as literature review, data collection and visualization of results. In addition, safety and ethics in the use of AI are key priorities, with the creation of alliances and regulatory frameworks that ensure responsible and safe development of these technologies. Initiatives such as the AI Safety Alliance and the European Union's Artificial Intelligence Act set global standards for the ethical and safe use of AI, safeguarding both individuals and society at large.

Suggested Citation

Handle: RePEc:dbk:rlatia:v:2:y:2024:i::p:11:id:1062486latia202411
DOI: 10.62486/latia202411
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:rlatia:v:2:y:2024:i::p:11:id:1062486latia202411. 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://latia.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.