Side-by-side comparison of data poisoning and data pollution as distinct threats to AI model integrity. The left panel details intentional dataset manipulation with targeted outcomes, while the right panel illustrates widespread synthetic data accumulation causing progressive model degradation. Both sections include definitions, characteristics, and visual process flows leading to the shared outcome of unreliable AI outputs.

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