AI Training Data Governance

Map the rights, licenses, and risk frameworks governing the use of large-scale datasets to train AI models. Compare data-provenance practices, licensing models, consent considerations, and cross-jurisdictional differences. Propose best practices for data curation, transparency, and accountability while balancing innovation with creators’ rights and privacy.