Artificial Intelligence in Social Management: A systematic review

Authors

DOI:

https://doi.org/10.18050/revucv-scientia.v15n2a7

Keywords:

machine learning, data mining, natural language processing, algorithms, information retrieval

Abstract

The present article aimed to analyze the current state of scientific publications regarding applications of artificial intelligence (IA) in social management. The methodology consisted of a systematic review of the literature in the SCOPUS database. The results show that AI is being applied in areas such as eligibility assessment, resource allocation and impact prediction, but most applications are at the pilot stage. The co-occurrence map generated in R reveals links between AI, human-computer interaction, robotics, information management and big data. In conclusion, AI has the potential to improve social management but carries ethical risks, as participatory and interdisciplinary approaches are needed for an ethical design of AI, ensuring that it reinforces the values of social management.

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Published

2024-03-04

How to Cite

Castilla Barraza, J. G. . (2024). Artificial Intelligence in Social Management: A systematic review. UCV-Scientia, 15(2), 74–80. https://doi.org/10.18050/revucv-scientia.v15n2a7

Issue

Vol. 15 No. 2 (2023): Julio-Diciembre

Section

Review Articles

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