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Governance Guardrails - Clarify ownership, documentation, and accountability across the AI lifecycle for data governance. This includes version control, data lineage tracking, and clear protocols for human intervention and incident response, allowing decisions to be traced and reviewed as needed. Privacy Guardrails - Protect user privacy rigorously by enforcing stringent regulations (GDPR or CPRA) and minimizing usage of sensitive personal data. Implement safeguards rigorously to ensure AI systems process sensitive information lawfully and with utmost care for user confidentiality.