Revolutionando o Recrutamento: A Sinergia entre Inteligência Artificial e Recursos Humanos
DOI:
https://doi.org/10.37497/rev.artif.intell.educ.v4i00.13Palavras-chave:
Transformação Digital, Inteligência Artificial, Estratégias de Recrutamento, Recursos Humanos, Capacidade Auto-evolutivaResumo
Objetivo: Avaliar criticamente o impacto da Inteligência Artificial (IA) no processo de recrutamento dentro do setor de Recursos Humanos (RH), identificando suas potencialidades e desafios.
Método: Utilizou-se uma abordagem comparativa para contrastar estratégias convencionais de recrutamento com técnicas potencializadas pela IA. A análise focou nas vantagens inerentes e nos desafios da adoção da IA no recrutamento.
Resultados: Os benefícios da IA no recrutamento superam significativamente suas limitações. A pesquisa indica uma tendência de amplo endosso da IA no mundo corporativo, com sistemas de IA habilmente: a) catalogando padrões comportamentais, b) determinando a adequação ao trabalho com base na disposição, c) sincronizando estes com as especificações do trabalho, d) interagindo com empresas, e) facilitando entrevistas virtuais, e f) gerando resultados sinérgicos.
Conclusões: A IA, ao refletir sua ética fundamental, tem o potencial de produzir efeitos tanto louváveis quanto adversos no recrutamento. A capacidade auto-evolutiva da IA exige uma vigilância contínua para evitar desafios de governança.
Implicações Práticas: A adoção responsável da IA no RH pode otimizar processos de recrutamento, tornando-os mais eficientes e precisos. No entanto, é imperativo estabelecer um equilíbrio entre inteligência artificial e humana para garantir uma implantação ética e eficaz, minimizando riscos e maximizando benefícios.
Referências
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Gowda, K. R. (2023). Artificial Intelligence in the Modern Economy: Transformations, Applications, and Future Prospects. Review of Artificial Intelligence in Education, 4(00), e08. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.8 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.8
Gulati, P., Gulati , U., Uygun, H., & Gujrati, R. (2023). Artificial Intelligence In Cyber Security: Rescue Or Challenge. Review of Artificial Intelligence in Education, 4(00), e07. https://doi.org/10.37497/rev.artif.intell.education.v4i00.7 DOI: https://doi.org/10.37497/rev.artif.intell.education.v4i00.7
Kaur, G., Gujrati, R., & Uygun, H. (2023). How does AI fit into the Management of Human Resources?. Review of Artificial Intelligence in Education, 4(00), e04. https://doi.org/10.37497/rev.artif.intell.education.v4i00.4 DOI: https://doi.org/10.37497/rev.artif.intell.education.v4i00.4
Silva, A. de O., & Janes, D. dos S. (2023). Challenges And Opportunities of Artificial Intelligence in Education in A Global Context. Review of Artificial Intelligence in Education, 4(00), e01. https://doi.org/10.37497/rev.artif.intell.education.v4i00.1 DOI: https://doi.org/10.37497/rev.artif.intell.education.v4i00.1
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Wadhwa, S., & Wadhwa, K. (2023). Challenges of Talent Retention and the Role of Robotic Process Automation in the COVID-19 Era: An Analysis of Organizational Strategies and Efficiency Enhancement. Review of Artificial Intelligence in Education, 4(00), e09. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.9 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.9
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