AI Training Data Disclosure

Design a governance framework that requires AI firms to disclose training data provenance, licensing, and usage, balancing innovation with accountability. Include definitions of training data, roles of regulatory bodies, enforcement mechanisms, and metrics to assess impact on performance, bias, and market competition. Compare at least three models of disclosure regimes (full transparency, selective disclosure with audits, or post-hoc disclosure). Propose international harmonization steps and a phased implementation plan.