Yet the dataset also provokes reflection. Identity documents are inherently sensitive. Even if MIDV-250 is designed for research and anonymized labels, the domain highlights risks: misuse of high-performing recognition systems for surveillance, identity theft, or discriminatory profiling. Researchers must balance progress with responsibility: applying strict access controls, minimizing retention of raw sensitive images, and prioritizing privacy-preserving techniques (on-device inference, differential privacy, synthetic data augmentation).