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

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

Frederico Giffoni de Carvalho Dutra , FUMEC University

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

Douglas Barbonaglia Sathler Figueiredo, FUMEC University

Bachelor in Computer Engineering.

References

AUTOR, David H. Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, [s.l.], v. 29, n. 3, p. 3-30, 2015.

BRASIL. Ministério do Trabalho e Previdência. Anuário estatístico da previdência social – AEPS. 2019. Disponível em: www.gov.br/trabalho-e-previdencia/pt-br/assuntos/previdencia-social/saude-e-seguranca-do-trabalhador/dados-de-acidentes-do-trabalho. Acesso em: 30 maio 2022.

BROUGHAM, David; HAAR, Jarrod. Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management & Organization, [s.l.], v. 24, n. 2, p. 239-257, 2018.

CHAGAS, Ana Maria de Resende; SALIM, Celso Amorim; SERVO, Luciana Mendes Santos (org.). Saúde e segurança no trabalho no Brasil: aspectos institucionais, sistemas de informação e indicadores. Brasília: Ipea, 2011.

CHANCHETTI, Lucas Faccioni et al. A scientometric review of research in hydrogen storage materials. International Journal of Hydrogen Energy, [s.l.], v. 45, n. 8, p. 5.356-5.366, 2020.

DABIRIAN, Amir; KIETZMANN, Jan; DIBA, Hoda. A great place to work!? Understanding crowdsourced employer branding. Business Horizons, [s.l.], v. 60, n. 2, p. 197-205, 2017.

DONTHU, Naveen et al. How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, [s.l.], v. 133, p. 285-296, 2021.

FRANK, Morgan R. et al. Toward understanding the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences, [s.l.], v. 116, n. 14, p. 6.531-6.539, 2019.

GIL, Antonio Carlos. Métodos e técnicas de pesquisa social. 6. ed. São Paulo: Atlas, 2008.

LAZZERINI, Beatrice; PISTOLESI, Francesco. Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety. In: INTERNATIONAL WORKSHOP ON MACHINE LEARNING, OPTIMIZATION, AND BIG DATA. Springer, Cham, 2017. p. 210-221. Anais [...]. Cham, 2017. Disponível em: https://link.springer.com/chapter/10.1007/978-3-319-72926-8_18. Acesso em: 27 jan. 2023.

MCCLURE, Paul K. You’re fired, says the robot: The rise of automation in the workplace, technophobes, and fears of unemployment. Social Science Computer Review, [s.l.], v. 36, n. 2, p. 139-156, 2018.

OIT – ORGANIZAÇÃO INTERNACIONAL DO TRABALHO. Notícias. 2021. Disponível em: www.ilo.org/brasilia/noticias/WCMS_820318/lang--pt/index.htm. Acesso em: 30 maio 2022.

PRANCKUTĖ, Raminta. Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, [s.l.], v. 9, n. 1, p. 12, 2021.

RODRIGUES, Beatriz; ANDRADE, António. O potencial da inteligência artificial para o desenvolvimento e competitividade das empresas: uma scoping review. Gestão e Desenvolvimento, [s.l.], n. 29, p. 381-422, 2021.

RUAS, Terry Lima; PEREIRA, Luciana. How to build Science, Technology, and Innovation Indicators using Web of of Science, Derwent World Patent Index, Bibexcel, and Pajek?. Perspectivas em Ciência da Informação, [s.l.], v. 19, p. 52-81, 2014.

SILVA, Caroline Martirena Monks et al. Utilização das tecnologias da indústria 4.0 na segurança e saúde do trabalhador: uma revisão sistemática da literatura. Brazilian Journal of Production Engineering, [s.l.], v. 7, n. 5, p. 252-268, 2021.

SIMONELLI, Angela Paula et al. Influência da segurança comportamental nas práticas e modelos de prevenção de acidentes do trabalho: revisão sistemática da literatura. Saúde e Sociedade, [s.l.], v. 25, p. 463-478, 2016.

TANGO, Fabio; BOTTA, Marco. Real-time detection system of driver distraction using machine learning. IEEE Transactions on Intelligent Transportation Systems, [s.l.], v. 14, n. 2, p. 894-905, 2013.

TIBERIUS, Victor; HIRTH, Stefanie. Impacts of digitization on auditing: a Delphi study for Germany. Journal of International Accounting, Auditing and Taxation, [s.l.], v. 37, p. 100288, 2019.

WU, Qisong et al. Radar‐based fall detection based on Doppler time–frequency signatures for assisted living. IET Radar, Sonar & Navigation, [s.l.], v. 9, n. 2, p. 164-172, 2015.

XIE, Xuecai et al. Risk prediction and factors risk analysis based on IFOA-GRNN and a priori algorithms: Application of artificial intelligence in accident prevention. Process Safety and Environmental Protection, [s.l.], v. 122, p. 169-184, 2019.

XU, Shi; STIENMETZ, Jason; ASHTON, Mark. How will service robots redefine leadership in hotel management? A Delphi approach. International Journal of Contemporary Hospitality Management, [s.l.], v. 32, n. 6, p. 2.217-2.237, 2020.

ZHU, Junwen; LIU, Weishu. A tale of two databases: The use of Web of Science and Scopus in academic papers. Scientometrics, [s.l.], v. 123, n. 1, p. 321-335, 2020.

ZUPIC, Ivan; ČATER, Tomaž. Bibliometric methods in management and organization. Organizational Research Methods, [s.l.], v. 18, n. 3, p. 429-472, 2015.

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