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AI models can be biased because the data they are trained on is often biased. For instance, AI-based facial recognition systems might work less well for people with darker skin if they were trained on people with lighter skin. To avoid biased results, it's crucial to use diverse and representative datasets for training and to be aware of potential biases in the output.
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