Más allá de la automatización: rigor metodológico, soberanía profesional e IA explicable en la gestión del patrimonio cultural

The integration of Artificial Intelligence into cultural heritage represents a paradigm shift that demands standardized data, public governance, and ethical transparency to prevent algorithmic bias and historical hallucinations. As demonstrated by the LADA-UC3M and GIAA project in segmenting use-wear traces on archaeological ceramics using models such as YOLO, SAM2, SegFormer, and Mask2Former, computer vision operates within a Human-in-the-Loop framework. Ultimately, AI serves as an advanced analytical instrument to relieve cognitive fatigue while preserving domain expertise and professional sovereignty.