The Human-in-the-Loop Moral Approval Gate Specification defines a governance framework that ensures human oversight is required before AI-generated moral interpretations can influence narrative generation, recommendations, or decision-making processes. The specification introduces a mandatory approval checkpoint where users can review, accept, reject, edit, or regenerate moral interpretations before they are used by downstream AI systems. It establishes clear operational requirements for approval workflows, preventing autonomous systems from treating generated ethical interpretations as final without explicit human authorization.
The specification provides a complete accountability layer through multi-user approval support, moral interpretation version tracking, and comprehensive decision logging. By preserving every interpretation, revision, approval action, and user decision, the module enables transparent review, auditability, and responsible AI deployment. It is designed for integration into AI narrative systems, governance platforms, research environments, and applications requiring verifiable human control over moral reasoning processes.
This specification is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be used freely with required attribution. Attribution-free deployments require a Specification Branding License, with fees based on usage, scope, and deployment size.
Specification Repository:
- The Interpretation Layer – A modular human-in-the-loop AI system that transforms moral interpretations of textual passages into modern, grounded human narratives through a transparent and auditable computational pipeline.
The Interpretation Layer Main Page
Specification Modules:
Human-in-the-Loop Moral Approval Gate Module Specification Pricing:
| Network Size | # of Users | One-Time Price | Duration |
| Small | 1 – 20 | $30,000 | Perpetual License |
| Medium | 21- 1000 | $70,000 | Perpetual License |
| Large | 1001 + | Custom Quote | Custom Quote |
