Generative AI Safety Frameworks

Outline a multi-layer safety assurance framework for generative AI that can be applied across products and services. Include risk assessment, sandbox or simulated testing, adversarial evaluation, independent audits, deployment controls, and ongoing monitoring with incident response. Compare stakeholder perspectives (developers, users, regulators) and provide a practical, adaptable roadmap for continuous safety improvement that remains relevant as technology evolves.