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Collaboration among recruiters and artificial intelligence: removing human prejudices in employment

In the global war for talent, traditional recruiting methods are failing to cope with the talent competition, so employers need the right recruiting tools to fill open positions. First, we explore how talent acquisition has transitioned from digital 1.0 to 3.0 (AI-enabled) as the digital tool redesi...

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Detalles Bibliográficos
Autor principal: Chen, Zhisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516509/
https://www.ncbi.nlm.nih.gov/pubmed/36187287
http://dx.doi.org/10.1007/s10111-022-00716-0
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author Chen, Zhisheng
author_facet Chen, Zhisheng
author_sort Chen, Zhisheng
collection PubMed
description In the global war for talent, traditional recruiting methods are failing to cope with the talent competition, so employers need the right recruiting tools to fill open positions. First, we explore how talent acquisition has transitioned from digital 1.0 to 3.0 (AI-enabled) as the digital tool redesigns business. The technology of artificial intelligence has facilitated the daily work of recruiters and improved recruitment efficiency. Further, the study analyzes that AI plays an important role in each stage of recruitment, such as recruitment promotion, job search, application, screening, assessment, and coordination. Next, after interviewing with AI recruitment stakeholders (recruiters, managers, and applicants), the study discusses their acceptance criteria for each recruitment stage; stakeholders also raised concerns about AI recruitment. Finally, we suggest that managers need to be concerned about the cost of AI recruitment, legal privacy, recruitment bias, and the possibility of replacing recruiters. Overall, the study answers the following questions: (1) How artificial intelligence is used in various stages of the recruitment process. (2) Stakeholder (applicants, recruiters, managers) perceptions of AI application in recruitment. (3) Suggestions for managers to adopt AI in recruitment. In general, the discussion will contribute to the study of the use of AI in recruitment, as well as providing recommendations for implementing AI recruitment in practice.
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spelling pubmed-95165092022-09-28 Collaboration among recruiters and artificial intelligence: removing human prejudices in employment Chen, Zhisheng Cogn Technol Work Original Article In the global war for talent, traditional recruiting methods are failing to cope with the talent competition, so employers need the right recruiting tools to fill open positions. First, we explore how talent acquisition has transitioned from digital 1.0 to 3.0 (AI-enabled) as the digital tool redesigns business. The technology of artificial intelligence has facilitated the daily work of recruiters and improved recruitment efficiency. Further, the study analyzes that AI plays an important role in each stage of recruitment, such as recruitment promotion, job search, application, screening, assessment, and coordination. Next, after interviewing with AI recruitment stakeholders (recruiters, managers, and applicants), the study discusses their acceptance criteria for each recruitment stage; stakeholders also raised concerns about AI recruitment. Finally, we suggest that managers need to be concerned about the cost of AI recruitment, legal privacy, recruitment bias, and the possibility of replacing recruiters. Overall, the study answers the following questions: (1) How artificial intelligence is used in various stages of the recruitment process. (2) Stakeholder (applicants, recruiters, managers) perceptions of AI application in recruitment. (3) Suggestions for managers to adopt AI in recruitment. In general, the discussion will contribute to the study of the use of AI in recruitment, as well as providing recommendations for implementing AI recruitment in practice. Springer London 2022-09-28 2023 /pmc/articles/PMC9516509/ /pubmed/36187287 http://dx.doi.org/10.1007/s10111-022-00716-0 Text en © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Chen, Zhisheng
Collaboration among recruiters and artificial intelligence: removing human prejudices in employment
title Collaboration among recruiters and artificial intelligence: removing human prejudices in employment
title_full Collaboration among recruiters and artificial intelligence: removing human prejudices in employment
title_fullStr Collaboration among recruiters and artificial intelligence: removing human prejudices in employment
title_full_unstemmed Collaboration among recruiters and artificial intelligence: removing human prejudices in employment
title_short Collaboration among recruiters and artificial intelligence: removing human prejudices in employment
title_sort collaboration among recruiters and artificial intelligence: removing human prejudices in employment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516509/
https://www.ncbi.nlm.nih.gov/pubmed/36187287
http://dx.doi.org/10.1007/s10111-022-00716-0
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