AI Data Ethics and Heritage

Develop a governance model for training data that respects cultural heritage, provenance, and rights of communities while enabling responsible AI development. Include mechanisms for data minimization, consent, access, and accountability, and illustrate with hypothetical case studies involving publicly curated collections and privately held items.