The Reasoing specifications establish modular frameworks for ethical reasoning, interpretive analysis, and transparent decision-making within artificial intelligence systems. Together they provide mechanisms for identifying moral dimensions in information, generating and evaluating multiple interpretations, normalizing ethical concepts into structured representations, and preserving uncertainty and interpretive diversity rather than forcing a single deterministic conclusion. Their design emphasizes explainability, confidence scoring, and the separation of reasoning processes from content generation.
The collection also introduces governance and operational controls that make advanced reasoning systems more accountable and traceable. Human review checkpoints, comprehensive audit capabilities, provenance tracking, and structured cognitive workflows ensure that every stage of reasoning can be examined and validated. Combined with adaptive runtime infrastructure and narrative generation capabilities, these specifications create a foundation for AI systems that are transparent, ethically aware, and capable of producing understandable and verifiable reasoning outcomes.
All specifications are released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be freely used with the required attribution provisions outlined in Section 7 of the license. Organizations seeking attribution-free commercial deployment may obtain a Specification Branding License, with pricing based on the specification category, deployment scale, and the size of the environment in which it is implemented.
Moral Inference Engine
https://roxanneardary.com/moral-inference-engine/
Open modular framework for AI systems that analyze moral dimensions of texts, generate multiple interpretations, rank them with confidence scores, and provide transparent explanations while preserving interpretive diversity.
Moral Ranking and Diversity System
https://roxanneardary.com/moral-ranking-and-diversity-system/
Framework for evaluating and ranking multiple moral interpretations from AI reasoning systems, with confidence scoring, diversity preservation, and transparent explanations.
Ethics Normalization Layer
https://roxanneardary.com/ethics-normalization-layer/
Transforms moral interpretations into structured, neutral ethical representations with theme labels, summaries, and confidence scores for reasoning systems.
Transparency and Explainability Layer
https://roxanneardary.com/transparency-and-explainability-layer/
Methods for explaining AI moral reasoning decisions, confidence visualization, ambiguity detection, and uncertainty reporting.
Ethics and Neutrality Constraints
https://roxanneardary.com/ethics-and-neutrality-constraints/
Governance rules separating ethical inference, interpretation, and generation to keep AI reasoning traceable and neutral.
Human-in-the-Loop Moral Approval Gate
https://roxanneardary.com/human-in-the-loop-moral-approval-gate/
Requires human review and approval of AI-generated moral interpretations before use in downstream processes. Audit and
Traceability Layer
https://roxanneardary.com/audit-and-traceability-layer/
Tracks and verifies all steps in AI moral reasoning and narrative generation with full provenance.
Story Generation Engine
https://roxanneardary.com/story-generation-engine/
Generates narratives from approved moral interpretations with built-in alignment validation.
Horizon Runtime
https://roxanneardary.com/horizon-runtime/
Universal AI runtime supporting adaptive inference and reasoning models.
Cognitive Orchestration Stack
https://roxanneardary.com/cognitive-orchestration-stack/
Modular framework that separates reasoning from generation using structured cognitive workflows.
A Specification Branding License can be purchased for the basket of Reasoning Specs
Reasoning Specifications Basket Pricing:
| Network Size | # of Users | One-Time Price | Duration |
| Small | 1 – 20 | $40,000 | Perpetual License |
| Medium | 21- 1000 | $160,000 | Perpetual License |
| Large | 1001 + | Custom Quote | Custom Quote |
