Revolutionizing recruitment: the synergy of artificial intelligence and human resources
PDF (English)

Palabras clave

Digital Transformation
Artificial Intelligence
Recruitment Strategies
Human Resources
Self-evolving Capability

Cómo citar

Iyer, V. (2023). Revolutionizing recruitment: the synergy of artificial intelligence and human resources. Review of Artificial Intelligence in Education, 4(00), e13. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.13

Resumen

Objective: To critically assess the impact of Artificial Intelligence (AI) on the recruitment process within the Human Resources (HR) sector, pinpointing its potentialities and challenges.

Method: A comparative approach was employed to contrast traditional recruitment strategies with AI-enhanced techniques. The analysis centered on the inherent advantages and challenges of AI adoption in recruitment.

Results: The benefits of AI in recruitment significantly outweigh its limitations. The research indicates a trend of broad endorsement of AI in the corporate realm, with AI systems adeptly: a) cataloging behavioral patterns, b) determining job fit based on disposition, c) synchronizing these with job specifications, d) interfacing with enterprises, e) facilitating virtual interviews, and f) engendering synergistic outcomes.

Conclusions: AI, reflecting its foundational ethos, holds the potential to produce both commendable and adverse effects in recruitment. The self-evolving capability of AI necessitates continuous oversight to circumvent governance challenges.

Practical Implications: Responsible adoption of AI in HR can optimize recruitment processes, rendering them more efficient and precise. However, it is imperative to strike a harmonious balance between artificial and human intelligence to ensure ethical and efficacious deployment, minimizing risks and maximizing benefits.

https://doi.org/10.37497/rev.artif.intell.educ.v4i00.13
PDF (English)

Citas

Goyal, I. (2023). AI Renaissance, artificial intelligence, information overload, human-computer interaction, decision-making. Review of Artificial Intelligence in Education, 4(00), e012. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.12

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

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

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

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

Somani, P. (2023). Emerging role of Artificial Intelligence in Product recommendation. Review of Artificial Intelligence in Education, 4(00), e011. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.11

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

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Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.