Always review AI output for accuracy and bias

AI models learn from vast datasets, which can contain inherent biases and inaccuracies. It is crucial to manually verify any information or content generated by AI tools. Do not blindly trust the output without critical evaluation. Always check facts, figures, and perspectives against reliable sources. This practice helps ensure fairness and maintains the integrity of your work. Your human judgment remains indispensable in validating AI contributions. Ultimately, you are responsible for the quality and ethical implications of your final product.