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@article{195108,
        author = {Neeraj S Tadkal},
        title = {The Adoption of Artificial Intelligence in Corporate Hiring Processes: An Empirical Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {7232-7235},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195108},
        abstract = {AI has emerged as a powerful and transformative force in the corporate recruitment process, fundamentally redefining how organizations identify, evaluate, and hire potential talent. The rapidly increasing volume of job applications and the growing demand for faster, more efficient hiring decisions have encouraged organizations to adopt automated and intelligent recruitment solutions. AI technologies such as machine learning, natural language processing, and predictive analytics enable recruiters to analyse large volumes of candidate data more efficiently, consistently, and objectively than traditional methods. This study examines the impact of AI on recruitment processes in the corporate world, with a specific focus on efficiency, accuracy, candidate experience, and ethical considerations. The research synthesizes findings from academic literature and industry reports to highlight both the advantages and limitations of AI-driven recruitment systems. Additionally, the study explores the challenges related to bias, transparency, and data privacy associated with AI adoption. The study concludes that while AI significantly improves recruitment outcomes and decision-making quality, careful governance, transparency, and continuous human oversight are essential to ensure ethical and responsible implementation.},
        keywords = {Artificial Intelligence (AI), Human Resource Management (HRM), Applicant Tracking System (ATS), Machine Learning (ML), Natural Language Processing, Large Language Models (LLM), Job Descriptions (JD).},
        month = {March},
        }