Inventor
Fahd bin Mansour Al-Arjani
Invention Title
SIGMA – Sovereign Human-AI Algorithmic Interaction System
Intellectual Property
International Patent Application: PCT/SA2026/050007
International Publication: WO2026/071935
International Publication Date: 02 April 2026
Short Description
SIGMA – Sovereign Human-AI Algorithmic Interaction System is a Decision Governance Infrastructure System (DGIS) designed to govern the lifecycle of algorithmic decisions within Human-AI environments.
The system introduces a structured governance layer between AI-generated outputs and operational execution, integrating human authority, decision verification, risk and compliance controls, authorization, execution governance, accountability, traceability, and provenance.
SIGMA is designed to ensure that algorithmic decisions pass through defined governance and oversight processes before execution while maintaining clear human authority and accountability throughout the decision lifecycle.
The Invention
SIGMA introduces a governance-centered architecture for managing the transition of algorithmic decisions from generation to execution.
Rather than functioning as an AI model or replacing existing artificial intelligence systems, SIGMA operates as a governance infrastructure positioned around the decision lifecycle. Its purpose is to ensure that AI-generated or algorithmically generated decisions are subject to structured verification, risk assessment, compliance assessment, trust evaluation, authorization, execution control, and traceability before operational execution.
The system establishes a controlled Human-AI environment in which computational intelligence may contribute to decision generation while authority over execution remains governed.
“Intelligence may generate decisions, but authority over execution remains governed”
This approach is intended to preserve human authority, operational accountability, decision provenance, and auditable governance across AI-enabled environments.
Key Features
- Human Authority Preservation – Maintains human participation and authority within the decision lifecycle.
- Decision Governance – Establishes governance controls over algorithmic decisions.
- Risk Management – Evaluates operational and decision-related risks before execution.
- Compliance Management – Evaluates decisions against applicable policies, requirements, and governance controls.
- Verification – Introduces verification stages before execution.
- Trust Evaluation – Assesses operational trust and confidence conditions.
- Execution Governance – Controls authorization, release, suspension, and revalidation of decisions.
- Accountability – Maintains identifiable responsibility throughout the decision lifecycle.
- Traceability – Records and preserves the history of governed decisions.
- Provenance – Maintains information concerning decision origin and attribution.
- Auditability – Supports reconstruction and review of decision processes.
System Architecture
SIGMA is structured as a multi-layer governance architecture.Its documented architecture incorporates layers covering:
- Human and Cognitive Integration
- Identity and Attribution
- Identity Synchronization
- Algorithmic Distribution
- Sovereignty Filtering
- Hybrid Decision Formation
- Risk Evaluation
- Compliance
- Behavioral Verification
- Trust Evaluation
- Threshold Evaluation
- Execution Control
- Security and Protection
- Traceability and Provenance
Together, these layers establish a controlled path between algorithmic processing and operational execution.
Application Areas
Potential application environments include:
- Government and public-sector institutions
- Regulatory environments
- Financial institutions
- Critical infrastructure
- Cybersecurity
- Healthcare
- Energy
- Defense
- Smart cities
- Autonomous systems
- AI agents
- Enterprise governance environments
The submitted documentation also presents sector-specific and specialized systems within the broader SIGMA ecosystem, including SIGMA-FIN™, SIGMA-IPS™, SIGMA-GUARDIAN™, and SIGMA-CYBER™.
How SIGMA Works
SIGMA governs algorithmic decisions through a structured operational lifecycle:
Human Input → Identity & Attribution → Algorithmic Processing → Sovereignty Filtering → Hybrid Decision Formation → Risk Assessment → Compliance Assessment → Verification → Trust Assessment → Authorization → Execution Control → Governed Execution → Traceability & Provenance
Through this architecture, a decision is evaluated through multiple governance layers before being released for execution.
The architecture therefore separates decision generation from decision authorization and execution, providing defined control points throughout the lifecycle.
About the Inventor
Fahd bin Mansour Al-Arjani is the inventor of SIGMA – Sovereign Human-AI Algorithmic Interaction System.
His work on SIGMA focuses on Human-AI decision governance, human authority preservation, algorithmic accountability, execution governance, traceability, and sovereign decision architectures.
Through the SIGMA ecosystem, he has documented a broader institutional and engineering architecture addressing governance frameworks, operational models, assessment structures, professional knowledge systems, and sector-specific applications for Human-AI decision environments.
Inventor’s Vision
The vision behind SIGMA is to contribute to the development of Human-AI environments in which technological advancement is accompanied by clear mechanisms for human oversight, authorization, accountability, verification, and responsible governance.
SIGMA approaches the future of artificial intelligence from the perspective that increasing computational capability should be accompanied by stronger mechanisms for governing how algorithmic decisions transition into real-world actions.