ICARE: Intelligent Cognitive Assessment and Review Engine

The recruitment process often faces persistent challenges with inefficiencies given multiple role-specific assessments in a single hiring cycle. This paper introduces the Intelligent Cognitive Assessment and Review Engine (ICARE), an AI-powered system that accelerates recruitment by incorporating the Adaptive Role Matching System (ARMS). ARMS produces adaptive tests targeted to role-specific demands by drawing real-time data from candidates’ responses and skills and modifying them according to the roles. This approach allows for more accurate evaluations, less redundancy, and a customized assessment process. ICARE implements refinement iterations through the spiral model, probabilistic algorithms, and graph neural net- works (GNNs) for optimal skill-to-role matching. GNNs consistently update predictions, in addition to a feedback loop with a learning mechanism that includes the input of recruiters, thus making the system more accurate over time.