Opportunities, Risks and Ethics in Rising AI-Powered Hiring
DOI:
https://doi.org/10.53032/tvcr/2026.v8n1.13Keywords:
AI-powered hiring; algorithmic recruitment; talent acquisition; resume screening; human-in-the-loopAbstract
Artificial intelligence (AI) is revolutionising the way hiring works by automating tasks such as parsing résumés, ranking candidates, and scheduling interviews to screen applicants more accurately and efficiently. Although it carries the potential benefits of efficiency and cost savings, it also brings risks with respect to algorithmic opacity, historical data bias and privacy damage. This article provides a PRISMA guidelined review of the AI-driven hiring research between 2020 and 2025, by analyzing data from 103 peer-reviewed studies in order to uncover opportunities, limitations, risks and ethical concerns. The results indicate that AI is a means for improving the speed of screening, optimizing job descriptions, scheduling and workforce analytics. Different kinds of challenges such as algorithmic bias, deepfake fraud, and barriers to accessibility have also been highlighted. Ethical issues revolve around openness, privacy, responsibility and justice. The article finds that AI hiring systems require the oversight of humans, systematic audits, inclusive design and strong data governance to generate maximum benefits for businesses while minimizing the risk of harm.
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