AI Watermarking and Governance

Draft a comparative analysis of watermarking approaches for AI-generated content, considering traceability, detection accuracy, privacy, intellectual property, and regulatory expectations. Propose a governance framework that balances transparency with security, define stakeholder roles, and outline evaluation metrics and an implementation plan for developers, platforms, and publishers. Include potential incentives and guardrails to encourage responsible use without stifling innovation.