Humans and AI have coexisted since ancient times, with different types of AI systems being developed over the years. Knowledge-based systems rely on expert rules to produce conclusions, learning systems improve performance by learning from data and feedback, and generative systems create new content based on patterns in training data. These systems have been used for various tasks such as diagnostic support, customer support chatbots, and personalized marketing. The evolution of AI has led to the development of agent-based systems, where multiple autonomous entities work together to solve a common problem, and human-in-the-loop (HITL) systems, which require human oversight and approval. Co-creation with AI is also becoming more prevalent, where humans let AI help them in creative processes. As AI continues to evolve, it's becoming increasingly personalized, adaptive, and interactive, enabling new possibilities for human-AI collaboration.