Learn how to craft disclosure-centric AI safety policies that emphasize reporting, whistleblower protections, and public accountability.
Translate principles into actionable legislative or corporate policy language.
1. **Definitions:** Clarify key terms (AI system, safety incident, whistleblower, disclosure).
2. **Scope:** Describe organizations and systems covered, referencing the risk tier framework.
3. **Reporting Requirements:** Specify timelines, formats, and disclosure content.
4. **Protections:** Detail rights for employees, contractors, and external researchers.
5. **Enforcement:** Outline penalties for non-compliance focused on corrective action (e.g., mandatory remediation plans) rather than immediate fines.
6. **Oversight Structure:** Establish roles for regulators, independent boards, or auditors.
7. **Sunset Review:** Include a periodic review clause to assess effectiveness and adjust obligations.
When drafting corporate policies, align internal language with public statutes for consistency and ease of compliance.