Current artificial intelligence systems face several limitations, including data bias, lack of generalization, and inability to understand context. AI models often rely on large datasets for training, and if these datasets contain biases, the AI can perpetuate or amplify them in decision-making processes. Additionally, many systems are designed for specific tasks, making it challenging for them to adapt to new situations outside their training scope. Lastly, understanding human emotions or contextual nuances remains difficult for AI, limiting effective interaction and decision-making in complex real-world scenarios.