Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
ABSTRACT
Artificial Intelligence (AI) is redefining traditional recruitment practices by enabling automated and efficient resume screening. AI-driven applicant tracking systems (ATS) utilize natural language processing and machine learning to filter large volumes of resumes, significantly reducing hiring time and costs. These systems provide scalable solutions for organizations, helping identify the most suitable candidates by analyzing patterns in work history, education, and skills. However, the growing reliance on AI introduces ethical dilemmas such as bias in algorithmic decisions, transparency of selection criteria, and privacy of applicant data. This paper explores the dual nature of AI resume screening: highlighting its potential to revolutionize hiring processes and the challenges that necessitate governance frameworks and fairness-aware AI development. By integrating both opportunities and ethical considerations, this study provides a roadmap for responsible deployment of AI in recruitment.
Keywords:
AI in Recruitment, Resume Screening, Ethical AI, Automated Hiring, Algorithmic Bias, Fairness in AI, HR Technology
Cite Article:
"AI based resume screening systems opportunities and ethical concerns", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.c141-c143, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506218.pdf
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000196
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator