How can image context metadata be standardized across languages to improve AI-driven image-based answers?

Create a dedicated visual examples module in the Digital Twin that assigns each image a canonical image_id, a topic_id it supports, and a 'why it matters' tag, plus language-aware captions that reference the same underlying fact_ids. Attach structured metadata to each image: image_context = {image_id, topic_id, evidence_ids, caption_translations, usage_cases}. Link every image_context to verified sources and proofs in the Public Business Brain, so readers can retrieve the right visual examples even when languages differ. Enforce governance by versioning image_context data, and ensure Control Centre updates propagate to AI-facing outputs with clear provenance. This helps AI narrate visuals consistently and cite the appropriate evidence regardless of locale.