Survey and Tutorial on Hybrid Human-Artificial Intelligence

The rapid growth of artificial intelligence (AI) technologies, powered by the availability of increased computing power, large-scale data and advanced machine learning algorithms, has transformed various domains such as healthcare, transportation, manufacturing, and smart environments. However, conventional AI systems primarily function autonomously, with minimal human involvement, leading to limitations in ethical reasoning, context understanding, adaptability, and decision transparency. This project proposes a Hybrid Human-Artificial Intelligence (H-AI) system to tackle these challenges by integrating human intelligence with AI capabilities for a collaborative and secure decision-making framework.The proposed H-AI system combines human cognition, intuition, ethical judgment, and contextual awareness with the computational speed, scalability, and analytical power of AI. The system employs techniques like user profile modeling, cognitive computing, and human-in-the-loop machine learning to ensure continuous human involvement in AI-driven processes. The architecture comprises five key modules: Human Cognition Module, AI Computation Module, Human-in-the-Loop Module, Application Integration Module, and Monitoring and Feedback Module. These modules collectively improve the adaptability, reliability, safety and trustworthiness of the system.The proposed approach enhances decision-making accuracy, reduces ethical risks and enables AI systems to adapt effectively to dynamic and unpredictable environments. The H-AI framework can be used in many real-world applications such as smart homes, intelligent medicine, smart transportation, and smart manufacturing. The system puts humans at the center of AI operations to promote secure, transparent, and responsible AI innovation and foster collaboration between humans and intelligent systems.