HUMAN-IN-THE-LOOP AI FOR CLOUD-BASED SYSTEMS: ENHANCING AUTOMATION WITH HUMAN EXPERTISE

Abstract

The integration of Human-in-the-Loop (HITL) AI with cloud-based systems represents a transformative approach to enhancing automation through human expertise. This synergistic combination optimizes decision-making processes, error detection, and system performance across multi-cloud architectures. The framework encompasses core components including automated AI systems, human interface layers, and feedback mechanisms, which together enable more precise operations and adaptive responses. Through structured implementation architectures and rigorous resource optimization strategies, organizations can achieve superior database management, enhanced security measures, and robust compliance monitoring. The incorporation of human expertise in critical decision points leads to improved threat detection, reduced false positives, and more efficient regulatory compliance. Despite facing challenges in balancing automation with human intervention, the HITL AI approach demonstrates significant potential in advancing cloud computing capabilities while maintaining high standards of accuracy and reliability.