Transforming the Talent Acquisition Lifecycle: Applications of Generative AI in Job Interviews and Candidate Evaluation

This article explores the transformative potential of Generative Artificial Intelligence (GenAI) across the talent acquisition lifecycle, with particular focus on job interviews and candidate evaluation processes. It examines how advanced language models like GPT, Claude, and Gemini are reshaping recruitment for key stakeholders—candidates seeking preparation resources, recruiters streamlining screening processes, and hiring managers implementing structured assessments. The article provides a technical framework for GenAI integration, addressing architectural considerations, implementation strategies, and data requirements essential for successful deployment. Ethical dimensions, including algorithmic bias, privacy protection, psychological impacts, and transparency requirements, are critically analyzed, with emphasis on responsible governance frameworks. Future directions highlight emerging trends in multimodal assessment, collaborative AI frameworks, and longitudinal intelligence capabilities, while identifying research gaps and industry-specific adaptation considerations. Throughout, the article offers practical recommendations for organizations seeking to leverage GenAI technologies while maintaining human-centered recruitment practices that prioritize fairness, effectiveness, and positive candidate experiences.