AI-driven solutions for candidate verification: Addressing fraudulent credentials in modern recruitment

This article examines the growing challenge of fraudulent experience profiles in the job market and explores how artificial intelligence technologies are revolutionizing candidate verification processes. As resume falsification becomes increasingly sophisticated, organizations face significant risks in their hiring decisions. The content investigates various AI applications in recruitment verification, analyzes their effectiveness, discusses ethical considerations, and explores future developments. The discussion covers AI-powered resume screening, skill assessment platforms, natural language processing in candidate screening, and digital footprint analysis, drawing parallels to cybersecurity frameworks. The article demonstrates that while AI offers powerful solutions for detecting falsified credentials, implementation must carefully balance efficiency with ethical considerations regarding privacy, bias, and candidate experience. Through a systematic review of current practices and emerging technologies, this work provides a comprehensive framework for understanding how AI transforms pre-interview candidate profiling.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-06-21
DOI
https://doi.org/10.30574/wjaets.2025.15.3.1129
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-driven solutions for candidate verification: Addressing fraudulent credentials in modern recruitment

Srihari Babu Godleti
World Journal of Advanced Engineering Technology and Sciences
AI and HR Technologies
article

AI-driven solutions for candidate verification: Addressing fraudulent credentials in modern recruitment

Srihari Babu Godleti
article en

Abstract

This article examines the growing challenge of fraudulent experience profiles in the job market and explores how artificial intelligence technologies are revolutionizing candidate verification processes. As resume falsification becomes increasingly sophisticated, organizations face significant risks in their hiring decisions. The content investigates various AI applications in recruitment verification, analyzes their effectiveness, discusses ethical considerations, and explores future developments. The discussion covers AI-powered resume screening, skill assessment platforms, natural language processing in candidate screening, and digital footprint analysis, drawing parallels to cybersecurity frameworks. The article demonstrates that while AI offers powerful solutions for detecting falsified credentials, implementation must carefully balance efficiency with ethical considerations regarding privacy, bias, and candidate experience. Through a systematic review of current practices and emerging technologies, this work provides a comprehensive framework for understanding how AI transforms pre-interview candidate profiling.

World Journal of Advanced Engineering Technology and SciencesVol. 15(3)
Openalex Percentile: Top 83%
AI and HR Technologies
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