Published analysis from Kuriom and external references on AI governance, pre-execution authorization, and the regulatory evidence standard.
First coordinated multi-government guidance specifically on agentic AI systems. Identifies five risk categories including accountability and structural risks directly relevant to sequence governance.
Read Guidance →The published architecture of Kuriom's pre-execution authorization framework. Indexed in the AI Law Policy and Ethics eJournal. 30 references, 7 classifications. SSRN:6782100.
Read Paper →The technical documentation and logging requirements for high-risk AI systems. The evidence standard that both articles establish requires pre-execution records, not post-hoc logs.
Read Act →Commerce Department agreements with major AI developers for pre-deployment model evaluation. The deployer-side governance gap remains outside the scope of these agreements.
NIST AI →Comprehensive AI and model risk management guidance for Canadian federally regulated financial institutions. AI and ML systems explicitly included. Lifecycle governance documentation required.
Read E-23 →The NIST framework for managing AI risk across the development and deployment lifecycle. Governance, mapping, measurement, and management functions.
Read Framework →The EU body responsible for implementation of the EU AI Act, including governance of general-purpose AI models and enforcement coordination across member states.
AI Office →