Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREMWP49317
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Artificial Intelligence (AI) is unnaturally reshaping gift accession, enabling associations to streamline reclamation processes and ameliorate hiring effectiveness. AI- powered tools similar as Applicant Tracking Systems (ATS), chatbots, and prophetic analytics automate critical hiring tasks, including capsule screening, seeker shortlisting, and engagement, reducing functional costs and optimizing pool planning. By using vast quantities of seeker data, AI enhances reclamation perfection, icing alignment with business objects. still, despite its effectiveness, AI- driven hiring presents significant ethical enterprises, particularly around algorithmic bias, translucency, and data sequestration. These challenges raise important questions about fairness, responsibility, and inclusivity, emphasizing the need for a balanced approach that integrates AI robotization with mortal oversight. This study looks at how well AI works for gift-giving, looks into ethical issues, looks into new AI trends like generative AI and cooperative intelligence, and gives useful advice for how to use AI responsibly. The study shows how AI can help improve the effectiveness of hiring, reduce bias, and shape HR decision-making through both quantitative and qualitative analysis. The findings give precious guidance for HR professionals, policymakers, and AI inventors, supporting the development of indifferent and transparent AI- driven hiring fabrics that align with assiduity norms. By addressing crucial gaps in exploration and practice, this study contributes to the ongoing converse on responsible AI integration, icing that advancements in AI empower hiring professionals while upholding fairness, ethics, and inclusivity in the reclamation process.
KEYWORDS
Publication Date
5/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...