Application of Artificial Intelligence in Work Safety for the Prevention of Accidents: a bibliometric study

Authors

DOI:

https://doi.org/10.9771/cp.v16i6.54587

Keywords:

Artificial intelligence, Work safety, Prevention.

Abstract

Occupational accidents that happen in the world of work have attracted, over time, the concern of how to implement preventive measures to avoid them. This article aims to present a bibliometric research, identifying the main publications, authors, universities, countries and keywords that address the applications of artificial intelligence in work safety, with a focus on accident prevention. Data were collected from the Web of Science database, using the keywords (“artificial intelligence”) AND (workplace OR “occupation health and safety” OR "accident prevention"). Data interpretation was carried out through performance analysis, based on WoS reports; and scientific mapping, using the VOSviewer software. 272 articles were found that were analyzed and composed the research. It was evident that the subject of artificial intelligence applied to work safety is still little explored, however, from 2020 onwards, there was a significant increase in scientific publications.

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Author Biographies

Alexandre Pinto Silva, FUMEC University, Belo Horizonte, MG, Brazil

Master in Electrical Engineering from the Federal University of Minas Gerais in 2012.

Frederico Giffoni de Carvalho Dutra , FUMEC University, Belo Horizonte, MG, Brazil

PhD in Information Science from the Federal University of Minas Gerais in 2020.

Douglas Barbonaglia Sathler Figueiredo, FUMEC University, Belo Horizonte, MG, Brazil

Bachelor in Computer Engineering.

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Published

2023-10-01

How to Cite

Silva, A. P., Dutra , F. G. de C. ., & Figueiredo, D. B. S. . (2023). Application of Artificial Intelligence in Work Safety for the Prevention of Accidents: a bibliometric study . Cadernos De Prospecção, 16(6), 1956–1970. https://doi.org/10.9771/cp.v16i6.54587

Issue

Section

Prospecções Tecnológicas de Assuntos Específicos