Example Concept: To ensure factual accuracy, AI-generated content should be cross-verified with reliable data sources. This can be achieved by integrating APIs that access up-to-date databases or knowledge bases, implementing human-in-the-loop systems for fact-checking, and using AI models trained on verified datasets. Additionally, setting up feedback loops where users can report inaccuracies helps improve the AI's accuracy over time.