Yes, AI can facilitate live video interviews by generating dynamic questions, analyzing candidate responses in real-time, and assisting human evaluators with insights and suggestions.

AI evaluates responses based on multiple factors such as clarity, confidence, content relevance, tone, and language fluency. It can also provide structured feedback for areas of improvement.

AI minimizes human bias by evaluating candidates solely on merit-based parameters. However, it is important to train AI models with diverse data to ensure fairness.

Yes, candidates can prepare by practicing common interview questions, improving their communication skills, and familiarizing themselves with video-based assessments. Some platforms even offer AI-powered mock interviews.

AI allows multiple evaluators to review candidate responses independently, compare assessments, and generate final scores, making the evaluation process more comprehensive and collaborative.

AI-powered interviews save time, allow institutions to assess a large number of candidates efficiently, provide data-driven insights, reduce bias, and ensure a structured evaluation process.

AI interviews complement human evaluators by handling initial screenings, scoring candidate responses, and generating insights. Final decisions often involve human oversight for a holistic evaluation.

AI interview platforms use secure encryption, authentication protocols, and data privacy measures to ensure candidate responses remain confidential and protected.

Institutions can integrate AI-powered interview platforms by setting up automated interview workflows, customizing evaluation criteria, and using AI-generated reports for data-driven admission decisions.