AI hallucinations, the incorrect or misleading results AI models generate, can be a real challenge, especially in critical areas like medical diagnoses or financial trading. They stem from factors like inadequate training data or biased assumptions. But fear not! Here's how to tackle them head-on: Ensure diverse and representative training data, regularly evaluate model performance, and incorporate uncertainty estimation techniques. Remember, human oversight and ethical considerations are key. Let's build AI systems we can trust! #AI #Ethics #Prevention"