Finding 4723Emerging EvidenceValidation V0
The GPA+IAT model maps agentic system propertiesGoal, Perception, Action, Iteration, Adaptation, Terminationto governance needs, while a five-layer 'governance stack' reveals no single rulebook can ensure safe AI deployment.
72%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting72% linkage confidence
The GPA+IAT model maps agentic system propertiesGoal, Perception, Action, Iteration, Adaptation, Terminationto governance needs, while a five-layer 'governance stack' reveals no single rulebook can ensure safe AI deployment.
key_findings bullet 2 · key_findings
Inspect source: Governing AI Agents: Risk, Compliance, and Accountability in Law and Finance →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.