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-# 3.4 🟨 AI Data Testing
+# 3.4 AI Data Testing
 
 The **AI Data Testing** category focuses on the validation and protection of data utilized throughout the AI lifecycle, including training datasets, inference inputs, and runtime interactions. This category emphasizes verifying data quality, ensuring robust privacy protections, assessing dataset coverage, and preventing harmful or inappropriate content from negatively influencing AI systems.