Discuss the importance of feedback loops in AI systems.
Feedback loops are essential in AI systems as they provide a mechanism for continuous improvement. By incorporating feedback, AI can adjust its predictions and outputs based on real-world performance. This iterative process allows the model to learn from its mistakes and successes, leading to enhanced accuracy and adaptability over time. Feedback loops are vital for refining algorithms and ensuring that AI remains relevant and effective in changing environments.