AI Governance in Business

Develop a comparative framework for regulating predictive AI used in corporate risk assessment and compliance. Identify key actors (regulators, firms, consumers), data governance requirements, transparency norms, accountability pathways, and risk controls. Create two deployment scenarios (regulated market with strict oversight vs permissive innovation environment) and discuss the implications for competition, privacy, and safety. Include metrics to assess success and a checklist for organizations to implement responsibly.