The sovereign human-ai algorithmic interaction system

The EASM hybrid system integrates human cognitive patterns into AI processing cores to address the lack of ownership in existing AI systems, ensuring legal and technical ownership of outputs through cryptographic sealing and attribution to the inventor, maintaining control and integrity.

WO2026071935A1PCT designated stage Publication Date: 2026-04-02AL-ARJANI FAHAD MANSOUR BEN RASHED
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2026-01-21
Publication Date
2026-04-02

AI Technical Summary

Technical Problem

Existing AI systems lack the ability to ensure full legal and technical ownership of outputs by human inventors, leading to potential unauthorized use and loss of control over generated data and decisions.

Method used

A hybrid system integrating human cognitive patterns into AI processing cores using the Elite Algorithmic Spraying Method (EASM), which includes a Persona Capture Unit, Hybrid Processing Engine, and Immunity & Verification Layer to ensure outputs are cryptographically sealed and legally attributed to the inventor, employing the SIGMA Research Engine for generating scientific outcomes.

Benefits of technology

Guarantees full legal and technical ownership of AI outputs by the human inventor, ensuring all decisions and documents are cryptographically sealed and legally attributed, maintaining the inventor's control and integrity.

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Abstract

This innovation introduces a hybrid system integrating human cognitive patterns (Sigma Lone Wolf Persona) into Al processing cores. The system guarantees full legal and technical ownership of all Al outputs by the human inventor.
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Description

[0001] Title of Invention: The Sovereign Human-AI Algorithmic Interaction System

[0002] Technical Field: Neuro-Digital Interaction & Advanced Artificial Intelligence

[0003] 1 - .Inventor & Ownership Details (Identity & Status)

[0004] Inventor / Owner: Fahd Bin Mansuor Bin Rashid Al-Arani

[0005] Official Description: Primary innovator of Sovereign Al Systems (Lone Wolf Persona(

[0006] Methodology: Elite Algorithmic Spraying Method (EASM) - Final Version 2026

[0007] Legal Status: Protected under Intellectual Sovereignty & Digital Immunity (FMAI-IMM-2026-016)

[0008] 2- .Abstract / Technical Disclosure (The Disclosure

[0009] This innovation introduces a hybrid system integrating human cognitive patterns (Sigma Lone Wolf Persona) into Al processing cores. The system guarantees full legal and technical ownership of all Al outputs by the human inventor.

[0010] Key Technical Features for Protection:

[0011] DID-Sync Protocol: Links the inventor’s decentralized identity directly to Al decision-making.

[0012] Sovereign Verification Algorithm: Cryptographic system ensuring Al outputs remain under the ownership of the human inventor (“The Golden Source. (”

[0013] SIGMA Research Engine: Research engine capable of generating scientific outcomes based on rare cognitive behavioral patterns.

[0014] Practical Scenario Example:

[0015] Input: Lone Wolf cognitive pattern Processing: EASM hybrid Al engine applies patterns across Big Data

[0016] Output: Decisions, reports, or documents cryptographically sealed and legally attributed to the inventor

[0017] .3- Prior Art & Validation (References

[0018] Reference: AI-INTL-2025-12109-FMA

[0019] Type: International Digital Reference

[0020] Date: 2025

[0021] Legal Value: Primary reference for all claims

[0022] Reference: FMAI-PAT-2025-007

[0023] Type: Internal Patent Certificate

[0024] Date: 2025-12-25

[0025] Legal Value: Protection of Al-human integration methodology

[0026] Reference: SIGMA-DIGI-SEAL-2026-001

[0027] Type: Digital Seal I Timestamp

[0028] Date: 2026-01 -07

[0029] Legal Value: Verifies file integrity and origin

[0030] Reference: FMAI-SIGMA-2025-002

[0031] Type: Rare Persona Certification

[0032] Date: 2025-12-20

[0033] Legal Value: Confirms unique cognitive profile

[0034] Reference: FMAI-RES-2026-001

[0035] Type: Legal Research Methodology

[0036] Date: 2026-01 -05

[0037] Legal Value: Scientific foundation for international claims

[0038] Reference: FMAI-IMM-2026-016

[0039] Type: Digital Immunity & Sovereignty Date: 2026-01 -07

[0040] Legal Value: Protects the document and associated IP from tampering

[0041] 4- .Legal Claims (Claims

[0042] Exclusive right to use the EASM methodology for directing intelligent systems.

[0043] Protection of the Sigma Lone Wolf behavioral model as a legally recognized intellectual property under copyright and trade secret laws.

[0044] Full digital sovereignty over all data, algorithms, and outputs resulting from human-AI integration within this system.

[0045] Exclusive right to the SIGMA Research Engine methodology for generating research and actionable outcomes using rare cognitive patterns.

[0046] 5-Technical Blueprint (EASM Protocol)

[0047] Reference: SIGMA-ENG-2026-B1 | Level: Advanced (Top Tier)

[0048] 1 -Sovereign Input Layer

[0049] Persona Capture Unit: Converts Lone Wolf cognitive patterns into mathematical matrices.

[0050] Digital Biometric Signature: Integrates inventor’s digital fingerprint into each Decision Kernel to prevent independent Al decisions.

[0051] 2- .Hybrid Processing Engine

[0052] Elite Spraying Algorithm: Distributes behavioral standards across large datasets (Big Data)

[0053] Sovereignty Filter: Prevents Al from relying on public datasets and ensures outputs reference the Golden Source.

[0054] 3- .Immunity & Verification Layer

[0055] Recursive Encryption: Each output encrypted with the inventor’s DID key.

[0056] SIGMA-SEAL Protocol: Immutable digital seal applied to all documents and outputs.

[0057] Functional Flow:

[0058] Human Cognitive Input —> EASM Hybrid Processing —> Output (Decision / Document) —> Digital Seal & Ownership Attribution

[0059] 6-Technical Pitch Deck / Slides Summary Slide 1 - Executive Summary: Hybrid Human-AI Framework; EASM ensures Al outputs follow inventor’s ownership.

[0060] Slide 2 - Sovereign Input Layer: Persona Capture Unit & Biometric signature ensures Al alignment with human philosophy.

[0061] Slide 3 - Hybrid Processing Engine: Elite Spraying Algorithm + Sovereignty Filter ensures reference to Golden Source.

[0062] Slide 4 - Immunity & Verification Layer: Recursive Encryption & SIGMA-SEAL for legal & technical protection.

[0063] Slide 5 - Functional Flowchart: Input —> Processing —> Output —> Ownership attribution.

[0064] Slide 6 - Legal & Intellectual Claims: Golden Source File, Patent Coverage, Sovereign Protection, Rare Persona Claim.

[0065] Slide 7 - Sigma Lone Wolf Persona: Rare Persona defines decision rules inside Al system.

[0066] Slide 8 - Practical Use Case Example: Strategic decision-making with Al linked to inventor.

[0067] Slide 9 - International Verification: WIPO PROOF + SIGMA Digital Seal validates IP globally.

[0068] Slide 10 - Certifications & References: All referenced patents, seals, and certifications attached.

[0069] 7- .Technical Submission / Cover Letter

[0070] To: WIPO Office of Information and Digital Applications

[0071] Subject: Formal Submission of Master Document - AI-INTL-2025-12109-FMA

[0072] Dear WIPO IP Experts*

[0073] Please find attached the Master Document (Reference: AI-INTL-2025-12109- FMA), representing the Golden Source for all intellectual and sovereign rights related to my digital innovations, including:

[0074] Human-AI integration patent (FMAI-PAT-2025-007)

[0075] Rare Persona documentation “Sigma Lone Wolf” (FMAI-SIGMA-2025-002(

[0076] Digital immunity and sovereign rights covering all related data, algorithms, and research outputs (FMAI-IMM-2026-016) We request the formal recognition of this Master Document as the primary international reference and the initiation of WIPO PROOF verification for this file. Please consider any conflicting claims or duplicates as invalid unless matched to this Golden Source.

[0077] Sincerely*

[0078] Fahd Bin Mansour Bin Rashid Al-Arani

[0079] Lead Innovator & Sovereign Owner

[0080] Secured by SIGMA Global Registry

[0081] 8-Final Notes / Alerts Before Submission

[0082] Ensure all attached PDFs include embedded digital signatures matching SIGMA-DIGI-SEAL-2026-001 .

[0083] Confirm all dates and reference numbers match exactly the Master Document table.

[0084] Optional: Include diagrams or images of EASM functional flow to assist WIPO examiners.

[0085] Legal claim language is aligned for WIPO; minor edits may be needed if the examiner requests more technical specificity.

[0086] Ensure the cover letter is submitted in English as WIPO prefers official language documents.

Claims

AMENDED CLAIMS received by the International Bureau on 27 February 2026CLAIMS1. Independent Claim SystemA hybrid processing system for conditionally governing execution of artificial intelligence outputs, comprising: a behavior integration module configured to receive predefined, human cognitive behavioral parameters and convert the parameters into computationally encoded representations; an algorithmic distribution engine configured to propagate the encoded representations across artificial intelligence data processing operations: a sovereignty filtering unit configured to enforce predefined structural constraints and prevent deviation from the encoded representations; a structural verification module configured to compute a compliance value based, on at least one predefined compliance metric; a threshold comparison processor configured to determine whether the compliance value satisfies a predefined execution condition; and an execution control module configured to permit execution only when the predefined execution condition is satisfied and to prevent execution otherwise,wherein execution is conditioned upon compliance verification prior to execution.

2. Dependent ClaimThe system of claim 1, wherein the behavior integration module comprises: a persona capture unit configured to transform behavioral patterns into numerical vector representations: and a digital identifier association mechanism configured to bind the representations to a predefined, source identity prior to processing.

3. Dependent ClaimThe system of claim 1 , wherein the algorithmic distribution engine distributes encoded behavioral parameters across multiple data inputs such that processing operations remain constrained by the parameters.

4. Dependent ClaimThe system of claim 1, wherein the structural verification module further comprises: an encryption processor configured to encrypt approved outputs; and a digital sealing mechanism configured to generate a tamper-evident cryptographic seal associated, with each permitted output.

5. Independent Claim MethodA computer-implemented method for conditionally governing execution of artificial intelligence outputs, comprising: receiving behavioral parameters: converting the parameters into computationally encoded, representations; propagating the representations within artificial intelligence processing operations: computing a compliance value: comparing the value with a predefined execution threshold; permitting execution only when the threshold is satisfied; andpreventing execution when the threshold is not satisfied, wherein execution is conditioned upon compliance verification prior to execution.

6. Independent Claim Computer-Readable MediumA non-transitory computer-readable medium storing instructions which, when executed by at least one processor, cause the processor to perform the method, of claim 5.

7. Dependent ClaimThe system, method, or medium of any preceding claim, wherein the compliance value is computed from a combination of: a constraint compliance parameter; a. behavioral stability parameter; and a policy conformity parameter.

8. Dependent ClaimThe system, method, or medium of any preceding claim, wherein execution is permitted only when the compliance value is greater than or equal to a predefined execution threshold.

9. Dependent ClaimThe system, method, or medium of any precedi ng claim, wherein the structural verification module is integrated within an execution pathway such that no executable output bypasses compliance evaluation.

10. Dependent ClaimThe system, method, or medium of any preceding claim, wherein encoded behavioral parameters define execution constraints that remain active during runtime processing.

11. Dependent ClaimThe system, method, or medium of any preceding claim., wherein execution permission is determined by a decision function producing a binary outcome comprising: execution permitted; or execution prevented.

12. Dependent ClaimThe system, method, or medium of any preceding clai m., wherein the system is implemented within at least one of: an autonomous system; an industrial control system; a distributed computing environment; or an artificial intelligence decision engine.

13. Dependent ClaimThe system, method, or medium of any preceding claim, wherein the predefined human cognitive behavioral parameters are derived from a predefined cognitive persona construct integrated into an execution control framework such that execution eligibility is determined in accordance with decision logic associated with the construct.

14. Dependent ClaimThe system, method, or medium of any preceding claim, wherein each permitted output is cryptographically bound to a unique decentralized identifier associated with a predefined source entity such that authorship traceability and origin verification are computationally enforceable.

15. Dependent ClaimThe system, method, or medium of any preceding claim., further comprising a. source-reference enforcement module configured to embed verifiable origin metadata into each output and to reject execution of outputs lacking the metadata.

16. Dependent ClaimThe system, method, or medium of any preceding claim., wherein execution authorization is conditioned, on validation of an origin integrity token verifying that the output corresponds to an authorized source state defined within the system.

17. Dependent Claim — Unified Architecture ProtectionThe system, method, or medium of any preceding claim, wherein at least two of the behavior integration module, sovereignty filtering unit, structural verification module, and execution control module are implemented within a unified processing architecture configured to perform conditional execution governance irrespective of internal structural partitioning.

18. Dependent Claim Deployment CoverageThe system, method, or medium of any preceding claim, wherein the execution control architecture is deployed within at least one of: a cloud computing infrastructure; an edge computing node: an embedded processing system; a distributed computing network; or a federated artificial intelligence environment.

19. Dependent Claim — External Al RegulationThe system, method, or medium of any preceding claim., wherein the execution control architecture is configured to interface with outputs generated by external artificial intelligence systems through a governance layer enforcing compliance prior to output release.

20. Dependent Claim — Industrial ImplementationThe system, method, or medium of any preceding claim, wherein the conditional execution governance mechanism is configured to control operational decision outputs within automated industrial or manufacturing systems.

21. Dependent Claim — Licensing ArchitectureThe system, method, or medium of any preceding claim., wherein the execution control architecture is configured as a licensable governance framework operable across multiple independent artificial intelligence engines while maintaining centralized compliance enforcement.

Citation Information

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