Use of Artificial Intelligence (AI) in Recruitment and Selection
- DOI
- 10.2991/978-94-6463-136-4_54How to use a DOI?
- Keywords
- AI; Augmented intelligence; Autonomous AI; Chatbots
- Abstract
The purpose of this paper is to examine the use of artificial intelligence (AI) in recruitment & selection. Multiple case studies of AI tools used for recruitment and selection have been used. Organizations can increase recruiting and selection efficiency and have access to a wider candidate pool by implementing AI in HRM. Subjective factors like nepotism and favouritism are less likely to be used in the hiring and selection of personnel as a result of the implementation of AI in HRM. The implementation of AI in HRM may also have a favourable effect on employee growth, retention, and effective use of time. AI is a developing field of study. With real-world experience, most HRM apps have not accumulated enough machine learning capabilities. Some of these are not supported by science. As a result, only a small part of the population is now impacted by AI in HRM. The research investigates how AI can broaden the pool of candidates. It also improves our knowledge of how AI-based HRM tools might lessen biases in candidate selection, which is very crucial. It also explores a number of ways in which AI aids in the training, retention, and efficient use of workers.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Abhijeet Thakur AU - Punamkumar Hinge AU - Vikas Adhegaonkar PY - 2023 DA - 2023/05/01 TI - Use of Artificial Intelligence (AI) in Recruitment and Selection BT - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) PB - Atlantis Press SP - 632 EP - 640 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-136-4_54 DO - 10.2991/978-94-6463-136-4_54 ID - Thakur2023 ER -