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Designing Transparency-First AI Governance

Learn how to craft disclosure-centric AI safety policies that emphasize reporting, whistleblower protections, and public accountability.

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9. Adoption Roadmaps

Guide jurisdictions or organizations through phased implementation.

Phase 1: Foundations#

  • Pass baseline legislation or adopt corporate policy.
  • Establish oversight bodies and resource budgets.
  • Launch pilot disclosure portal.

Phase 2: Expansion#

  • Onboard initial set of organizations (e.g., high-risk labs, public sector deployments).
  • Collect first wave of disclosures, refine templates based on feedback.
  • Train auditors and ombuds staff.

Phase 3: Optimization#

  • Expand coverage to additional sectors.
  • Publish comparative scorecards and best practice guides.
  • Integrate learnings back into policy revisions via scheduled sunset reviews.

Phase 4: Integration#

  • Align with international partners by sharing schemas and metrics.
  • Encourage voluntary adoption by smaller organizations.
  • Continue iterative improvements through transparency councils or working groups.
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