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A financial institution plans to implement adverse media screening with Artificial Intelligence (AI)/Machine Learning (ML) capabilities During testing, the system produces high volumes of irrelevant news articles for review. What is the best way to address this issue?
Correct Answer: D
The most effective way to reduce irrelevant results in AI/ML-driven adverse media screening is to fine-tune the models to prioritize high-risk keywords and reliable sources. This improves precision by filtering out noise and directing focus toward content that is more likely to indicate financial crime risk.