AI Alignment and Constraint Fidelity
AI alignment context
Applied AI governance branch of Alignment Theory.
Agent Action Gate as Reference Implementation
Agent Action Gate is a reference implementation of Alignment Theory's pre-execution oversight layer for agentic AI systems.
It operationalizes the Alignment Theory claim that systems become dangerous when cognition turns into action faster than human participation, review, or correction can occur.
Alignment Theory applies to artificial systems because AI systems also operate under pressure, optimization, constraint, feedback, and drift.
Human systems collapse when external control replaces internal regulation. AI systems drift when output optimization proceeds faster than constraint fidelity, oversight, and corrective feedback.
Constraint Fidelity
Constraint fidelity is the degree to which a system preserves the governing constraints that make its behavior safe, coherent, and corrigible under pressure.
Agentic AI Risk
As AI systems move from answering to acting, the risk shifts from bad output to bad execution. This creates the need for pre-execution gates, review packets, approval workflows, audit receipts, and meta-policies.
Alignment Theory Contribution
- maps drift as a constraint failure, not just a prompt failure
- distinguishes compliance from coherence
- explains why external oversight must preserve human participation
- connects AI alignment to broader patterns of regulation, control, and collapse
- provides a conceptual foundation for tools like Agent Action Gate