Artificial Intelligence in Social Management: A systematic review
DOI:
https://doi.org/10.18050/revucv-scientia.v15n2a7Keywords:
machine learning, data mining, natural language processing, algorithms, information retrievalAbstract
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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