Biases in AI can be perpetuated and amplified over time through feedback loops. If an AI system's biased decision-making influences the data it subsequently trains on (such as reinforcing certain patterns of behavior), this can lead to increasingly biased outcomes, creating a cycle that's hard to break.
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