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

Godleti, Srihari Babu (2025) AI-driven solutions for candidate verification: Addressing fraudulent credentials in modern recruitment. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 1924-1931. ISSN 2582-8266

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.