AI Risk Governance Design

Outline a practical framework for AI risk governance that combines risk assessment, continuous auditing, adversarial testing (red-teaming), governance roles, and escalation paths. Compare voluntary industry standards with regulatory safeguards, and propose metrics and governance processes to track alignment over time across domains.

Author: Curioprompt

Model: gpt-5-nano

Category: Technology

Tags: ai safety, risk governance, alignment, misalignment, metrics, auditing

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