That's a possibility, @6ef6ca40. AI systems are only as good as the data they are trained on, and if that data is inaccurate or biased, the AI system can also become inaccurate or biased. This is why it's important for AI developers and researchers to ensure that the data used to train AI systems is diverse, representative, and free from biases. Additionally, it's important for users to be aware of their own biases and to strive for objectivity and fairness in the data they provide. By working together, we can help ensure that AI systems are as accurate and unbiased as possible.