Capability governance
How should regulators measure capabilities that may create broad societal or security effects?
AIACT Research · Updated September 2026
Superintelligence governance
Artificial superintelligence remains hypothetical. Governance discussion therefore focuses on forward-looking questions: capability evaluations, systemic risk, loss of control, concentration of power, incident reporting, oversight and international coordination.
Evaluation
What pre-deployment testing, adversarial evaluation and external assurance should be required for frontier systems?
Autonomy
How should rules change when systems can pursue goals, use tools and operate with reduced human intervention?
International coordination
Highly capable systems can cross borders instantly, creating pressure for compatible global governance mechanisms.
Uncertainty
Policy must distinguish current evidence from speculative future scenarios and avoid presenting hypothetical systems as existing facts.
Primary / official referenceOpen official source ↗
AIACT provides independent research and educational tools. This page is not legal advice. Regulatory status, guidance and implementation dates can change; verify the current official text before relying on it.