AI Governance
AI governance encompasses policies, regulations, and institutional frameworks shaping AI development and deployment. The EU AI Act represents the first comprehensive legal framework, while AI Safety Institutes provide government technical capacity to evaluate advanced systems.
Racing dynamics pose a fundamental challenge: competitive pressure has shortened safety evaluation timelines by 40-60% since ChatGPT’s launch. International coordination faces hurdles despite progress like the Bletchley Declaration (28 countries) and Seoul AI Safety Commitments (16 companies), as voluntary frameworks lack binding enforcement.
| Metric | Score | Notes |
|---|---|---|
| Changeability | 55 | Policy windows exist but institutional inertia creates friction |
| X-risk Impact | 60 | Shapes incentives and constraints for AI development |
| Trajectory Impact | 75 | High impact through shaping norms and power distribution |
| Uncertainty | 50 | Political dynamics are somewhat predictable but volatile |
Related Content
Section titled “Related Content”Risks:
Responses:
Models:
Key Debates:
- Regulate now with imperfect knowledge, or wait until risks are clearer?
- Is meaningful international AI governance achievable, or will competition dominate?
- Will governance be captured by industry interests?