Results for "global governance"

Restricting updates to safe regions.

Deep learning system for protein structure prediction.

Information that can identify an individual (directly or indirectly); requires careful handling and compliance.

Central system to store model versions, metadata, approvals, and deployment state.

Structured dataset documentation covering collection, composition, recommended uses, biases, and maintenance.

Framework for identifying, measuring, and mitigating model risks.

Systematic review of model/data processes to ensure performance, fairness, security, and policy compliance.

Categorizing AI applications by impact and regulatory risk.

Logged record of model inputs, outputs, and decisions.

AI used in sensitive domains requiring compliance.

US framework for AI risk governance.

Requirement to inform users about AI use.

Ability to inspect and verify AI decisions.

Privacy risk analysis under GDPR-like laws.

Governance of model changes.

Centralized AI expertise group.

Accelerating safety relative to capabilities.