AI data governance for sensitive domains

Propose a governance framework for using real-world data to train AI in sensitive domains, addressing data provenance, consent, minimization, bias mitigation, transparency, security, and accountability. Compare centralized versus federated approaches, and outline a blueprint for responsible innovation that protects individuals while enabling beneficial applications.