GLOBAL PRIVACY POLICY & SOVEREIGN DATA CONSTITUTION

Platform Framework: Augmented Autonomous Human Mesh / Every Human is a Service™

Effective Date: May 18, 2026

Corporate Seat (Domestic/International): Florida, USA

1. PREAMBLE & SYSTEMIC DATA ARCHITECTURE

This Global Privacy Policy & Sovereign Data Constitution (the “Privacy Policy”) operates as a legally binding, exhaustive instrument structural to, integrated with, and governed by the AAHM Global Cognitive Utility Constitution, available at https://aahm.technology/terms-and-conditions/ (the “Terms and Conditions”).

1.1 Universal Data Scope

AAHM does not operate as a traditional corporate database administrator, professional service provider, or employment marketplace. AAHM operates exclusively as a decentralized, passive, global cognitive routing infrastructure known as the Third Network.

This Privacy Policy governs how the algorithmic data pipeline indexes, categorizes, matches, tokenizes, vectorizes, and routes data, including text, voice, video, code, biometric streams, and professional judgment, between independent, sovereign corporate enterprises acting as “Experts” and the operational entities requesting intervention, known as “Clients” (collectively, “Users”).

1.2 Algorithmic Router Doctrine & Intermediary Status

Pursuant to the Algorithmic Router Doctrine detailed in Section 1 of the Terms and Conditions ( https://aahm.technology/terms-and-conditions/#section-1), AAHM functions strictly as a neutral conduit and technical data carrier. AAHM does not create, curate, edit, or assume ownership over Expert Content, nor does it perform human interventions or manual curation of information pursuant to Terms and Conditions Sec 1.4(i).

Consequently, all data processed through the Third Network is categorized as either User-Generated Data routing through a passive pipeline or De-Identified Neural Training Vectors incorporated into AAHM’s neutral algorithmic infrastructure under Expert license as defined in Terms and Conditions Sec 6.1.

1.3 Total Acceptance & Structural Risk Allocation

By accessing, authenticating, or routing data through the AAHM infrastructure, you explicitly acknowledge and agree to the data management practices, processing mechanics, and liability limitations set forth herein.

If you do not accept the totality of this Privacy Policy and the accompanying Terms and Conditions, you are strictly denied permission to utilize, interface with, or inject data into the Third Network. All processing activities are executed subject to the Absolute Financial Liability Cap ($100 USD), broad-form indemnification, and split jurisdictional arbitration frameworks established in Terms and Conditions Sec 2.2, 3.1, 7.1, and 7.2.

2. COMPREHENSIVE STATUTORY OMNISTACK & COMPLIANCE SHIELDS

The data processing ecosystem of the Third Network is natively engineered to cross-comply with, and shield AAHM from liability under, the following international digital, security, privacy, and automated intelligence frameworks operational as of 2026:

2.1 Artificial Intelligence Frameworks

• European Union: The European Union Artificial Intelligence Act (Regulation (EU) 2024/1689). AAHM operates strictly as a neutral data infrastructure and routing utility, qualifying for high-risk infrastructure exemptions by functioning as a passive pipeline rather than an autonomous deployment system.
• United States: The US Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence and all subsequent state or federal algorithmic accountability protocols.

2.2 Global Data Privacy Registries

• United States: The California Consumer Privacy Act (CCPA) as amended by the California Privacy Rights Act (CPRA), the Florida Digital Bill of Rights (FDBR), Texas Data Privacy and Security Act (TDPSA), Virginia VCDPA, Colorado CPA, Utah UCPA, Connecticut CTDPA, Illinois Biometric Information Privacy Act (BIPA), and Texas Capture or Use of Biometric Identifier (CUBI).
• European Union & United Kingdom: The General Data Protection Regulation (GDPR) (Regulation (EU) 2016/679) and the UK GDPR / Data Protection Act 2018.
• International Sovereignties: India’s Digital Personal Data Protection (DPDP) Act, Brazil’s Lei Geral de Proteção de Dados (LGPD), and Canada’s Personal Information Protection and Electronic Documents Act (PIPEDA).

2.3 Intermediary Content & Safety Shield

• United States: 47 U.S.C. § 230 (Communications Decency Act) and the Digital Millennium Copyright Act (DMCA – 17 U.S.C. § 512).
• European Union: The Digital Services Act (DSA) (Regulation (EU) 2022/2065), classifying AAHM strictly as an intermediary caching and hosting service provider.
• Global Parallels: The UK Online Safety Act (OSA) and the Australian Online Safety Act.

3. CATEGORIES OF DATA PROCESSED & COLLECTION MECHANICS

AAHM processes data under two distinct operational paradigms: Active Cognitive Transmission (real-time data routed between Users) and Systemic Network Optimization (data utilized to maintain the structural integrity of the algorithmic engine). All processing is provided AS-IS. No warranty of merchantability, fitness, accuracy, or uninterrupted service is provided, in accordance with Terms and Conditions Sec 2.2.

4. LEGAL BASES FOR PROCESSING UNDER GLOBAL REGIMES

AAHM processes data only where it possesses a valid legal foundation under applicable international frameworks, including GDPR Article 6, DPDP Act Section 6, and parallel global statutes. All processing is provided AS-IS with no warranty of merchantability, fitness, accuracy, or uninterrupted service under Terms and Conditions Sec 2.2.

• 4.1 Contractual Necessity: Processing is strictly required to execute the algorithmic matching protocols, track compensation hours, route cognitive streams, and process downstream metrics pursuant to the binding global contract formed by the Terms and Conditions.
• 4.2 Explicit, Informed Consent: For special categories of data, high-risk cognitive ingestion, and biometric streams, processing is grounded upon your explicit, separate opt-in consent as detailed in Exhibit A (User/Client) and Exhibit A-Expert.
• 4.3 Legitimate Intermediary Interests: Processing is necessary to secure the Third Network, prevent off-platform billing circumvention, defend against professional malpractice claims through immutable session records, track performance hours, and train neutral algorithmic architectures under Expert license pursuant to Terms and Conditions Sec 6.1.
• 4.4 Legal & Sovereign Obligations: Processing is executed to ensure compliance with global sanctions, export controls managed by the US Office of Foreign Assets Control (OFAC), state bar rules, financial engineering regulations, and directives from parallel global regulators.

5. THE GLOBAL AI TRAINING LICENSE, DIGITAL LEGACY FRAMEWORK & ROYALTY INCENTIVE

5.1 Ingestion, Vectorization, and Tokenization

Pursuant to Section 6.1 of the Terms and Conditions, by injecting any knowledge, text, voice, video, code, or biometric data into the Third Network infrastructure, the Expert grants AAHM a perpetual, irrevocable, worldwide, royalty-free (except as provided in Section 5.4), fully sub-licensable, non-exclusive, transferable, and unrestricted license to ingest, process, de-identify, tokenize, and vectorize session data.

5.2 Wisdom-as-a-Software (WaaS)

This data pipeline is explicitly utilized to train, refine, test, and execute AAHM’s self-learning neural networks, Large Language Models (LLMs), and Digital Legacy / Wisdom-as-a-Software (WaaS) frameworks. This infrastructure indexes licensed data to improve algorithmic routing under Terms and Conditions Sec 6.1. AAHM does not create or develop Expert Content pursuant to Terms and Conditions Sec 1.4(i).

5.3 Technical De-Identification Standard

Once data is ingested into the AI Training Pipeline, it undergoes an irreversible technical de-identification, mathematical tokenization, and multi-dimensional vectorization process.

The resulting mathematical vectors are permanently separated from personal identifiers and integrated into the global model weights. These optimized vectors cannot be reversed, decoded, or manipulated to recreate your individual physical identity. The Client assumes 100% risk for all human intervention routed through the 20% Judgment Real-Time Window pursuant to Terms and Conditions Sec 3.4.

5.4 Self-Learning AI Royalty Infrastructure

In recognition of the data assets and telemetry contributed to the network, Users who interact with the ecosystem are eligible to receive a financial royalty stemming from the integration of their knowledge streams into AAHM’s self-learning AI models.

• Engagement Hour Tracking: AAHM’s network telemetry securely records the exact volume of hours a User spends actively utilizing, interacting with, or injecting data into the platform.
• Extraction Metrics: The algorithmic pipeline measures the specific volume, computational depth, and utility metrics of the information extracted from the User’s active sessions for neural training purposes.
• Royalty Distribution: The financial framework, disbursement rates, thresholds, and operational mechanics governing these royalties are structurally calculated based on the compound metrics of (a) documented engagement hours and (b) data volume extracted.

Structural Note on Financial Disclosures: All royalty payouts, financial asset compliance, and accounting calculations are governed exclusively by our separate, binding Terms and Conditions and are not determined solely by this Privacy Policy.

6. DATA RETENTION, SEPARATION, AND PURGING PROTOCOLS

AAHM maintains a bifurcated data storage architecture designed to balance real-time operational utility with strict global compliance standards.

[User Injects Session Data: Voice, Video, Code, Text]

│

├───► Raw Media & Personal Identifiers (Service Pool)

│ └───► Retained: Max 30 Days (Pursuant to BIPA/GDPR/CUBI)

│ └───► Action: Permanent Deletion / Cryptographic Shredding

│

└───► Tokenization, Extraction & Vectorization Pipeline (AI Training Pool)

└───► Retained: Indefinitely (De-Identified State)

└───► Tracking: Logs Total Hours & Extracted Data Volume for Royalty Metrics

└───► Action: Permanent Integration into Neural Model Weights

6.1 Service Functionality Data

Raw audio, video, un-vectorized biometrics, and structural communication packets required to facilitate active human-to-human or human-to-AI matches are retained in hot storage solely for the duration of the operational session and are automatically deleted or cryptographically shredded within thirty (30) days post-session termination.

6.2 Neural Model & AI Training Data

De-identified, tokenized vectors derived from cognitive streams, extracted data volumes, and biometric inputs are retained indefinitely within AAHM’s model weights to maintain systemic algorithmic integrity and provide WaaS functionality. Because these vectors do not constitute “personally identifiable information” under applicable law, they are exempt from standard erasure requests.

6.3 Escrow, Operational Tracking, and Transactional Deficits

Financial, transactional, hourly network logs (including hours tracked for AI self-learning royalty accumulation), and cryptographic ledger records are retained for a minimum period of seven (7) years to satisfy international accounting standards, enforce the 24-month Worldwide Non-Circumvention Doctrine, and preserve AAHM’s Global Set-Off and Freezing Rights as outlined in the Terms and Conditions.

6.4 Legal and Investigative Holds

Data subject to regulatory inquiry, subpoenas, active arbitration filings under JAMS or SIAC, or anti-fraud investigations will be preserved under an absolute administrative lock until the final, non-appealable resolution of the matter.

7. MONETIZATION INTEGRITY & DOWNSTREAM TRANSFER OF DATA

7.1 Data Brokering and Profit-Share Allocations

AAHM does not sell, rent, lease, or commercially exploit personal data or active biometric identifiers to third-party data brokers, advertisers, or external marketing syndicates. Outside of the structured Self-Learning AI Royalty Infrastructure established in Section 5.4 of this Policy and the corresponding provisions in the Terms and Conditions, no User shall receive a profit share, equity distribution, or independent financial compensation for data ingested via the AI Training License.

7.2 Downstream Infrastructure Transfers

AAHM transfers data exclusively to the following categories of downstream processors:

• Downstream Cloud Infrastructure & Compute Vendors: Trusted global cloud hosting providers, tensor processing unit (TPU) arrays, and neural network hosting infrastructure operating under strict data protection addenda (DPAs) requiring absolute deletion of raw service logs upon command.
• Sovereign Legal Authorities: Law enforcement or international regulators where mandated by valid legal process, court orders, or to enforce the Global Broad-Form Indemnification provisions.
• Corporate Successors-in-Interest: In the event of a merger, acquisition, divestiture, or institutional restructuring, the acquiring entity shall be bound by the data processing limitations, tracking architectures, and royalty payout commitments set forth in this Privacy Policy.

8. PHYSICAL-WORLD HIGH-RISK DATA & LIABILITY WAIVERS

8.1 Vertical-Specific Exclusions

As established via the Show Chic Precedent in Section 1.3 of the Terms and Conditions ( https://aahm.technology/terms-and-conditions/#section-1-3), AAHM does not possess, manage, or operate domain-specific physical verticals (including equine training, sports medicine, or field logistics). Any data collected via wearable sensors, human motion analysis software, biometric tracking systems, or video captures operating within high-risk physical spaces is processed entirely at the risk of the User.

8.2 Regional Activity Statute Integration

All telemetry, physical tracking data, and biometric feedback loops routed through the Third Network are subject to the total waiver of liability under regional activity liability statutes, including but not limited to all state-level Equine Activity Liability Acts (e.g., Florida, Texas, Kentucky).

AAHM accepts no responsibility for data accuracy or systemic tracking anomalies that lead to bodily injury, property damage, or death in the physical world. The Client assumes 100% risk for all human intervention routed through the 20% Judgment Real-Time Window pursuant to Terms and Conditions Sec 3.4.

9. GLOBAL USER RIGHTS & EXERCISE MECHANISMS

Depending on your geographical residency and the specific jurisdiction governing your connection to the Third Network (e.g., California, European Union, India), you may possess specific statutory rights regarding your personal data.

9.1 Right of Access and Portability

You may request an export of the raw, personal data associated with your active identity profile. AAHM will provide this information in a structured, machine-readable format within thirty (30) days of a verified request submitted to privacy@aahm.ai.

9.2 Right to Erasure and Rectification

You may request the correction or permanent deletion of your profile-level personal data and raw service-level media files. Upon verification, AAHM will execute standard purging protocols across its active database clusters.

9.3 Irrevocability of the AI Training Vector Space

CRITICAL ARCHITECTURAL WARNING: Pursuant to Section 5.3 of this Policy and Section 6.1 of the Terms and Conditions, the right to deletion or erasure does not extend to de-identified, tokenized, or vectorized data that has already been incorporated into AAHM’s neural networks, LLMs, or Digital Legacy frameworks. Because these mathematical vectors do not constitute personal data and cannot be isolated or extracted from the broader model weights without destroying model integrity, they are permanently, irrevocably licensed to AAHM and are non-recallable.

9.4 Opt-Out of AI Training Pipeline

Users may manage their privacy configurations at any time by navigating to Settings > Privacy and toggling the configuration titled “Improve AAHM with my data.”

If toggled off, AAHM will cease the processing of future data streams for neural network optimization. You explicitly acknowledge and agree that disabling this pipeline will permanently forfeit your eligibility to accrue or receive future financial compensation under the Self-Learning AI Royalty Infrastructure. Disabling this pipeline may also cause significant degradation, latency, or complete termination of multi-modal features and advanced cognitive routing within the Third Network.

10. SYSTEMIC MISCELLANEOUS CLAUSES & ADJUDICATION

10.1 Incorporation of Dispute Resolution Shield

This Privacy Policy is entirely subject to the bifurcated, mandatory arbitration framework and class-action waivers set forth in Section 7 of the Terms and Conditions ( https://aahm.technology/terms-and-conditions/#section-7). All disputes concerning data breaches, privacy violations, royalty calculation anomalies, statutory claims (including BIPA, CUBI, and GDPR actions), or algorithmic processing anomalies shall be permanently stripped of access to public courts and resolved via:

• North American Users: Confidential, binding individual arbitration administered by JAMS in Wilmington, Delaware, under the substantive laws of the State of Delaware.
• International Users: Confidential, binding individual arbitration administered by the Singapore International Arbitration Centre (SIAC) in Singapore, under the substantive laws of Singapore.

10.2 Loser-Pays Fee Shifting & Limitation Window

Any claim or cause of action arising out of data privacy or platform monetization tracking operations must be formally filed within one (1) calendar year from the exact date the underlying event occurred or be permanently, irrevocably barred globally. The losing party in any privacy arbitration or legal challenge shall pay 100% of all costs, administrative fees, and reasonable attorneys’ fees incurred by the prevailing party, subject only to the Good-Faith Consumer Exception for individual claims seeking under $10,000 USD.

10.3 Next-Generation Data Force Majeure

AAHM is entirely absolved of liability for data loss, unauthorized access, accounting/royalty tracking discrepancies, processing delays, or systemic leaks caused by events beyond its reasonable control. This includes cloud infrastructure outages, deep-tier data center failures, global internet backbone disruptions, Large Language Model (LLM) hallucinations, cascading algorithmic degradation, international state-sponsored cyber-warfare, or quantum decryption anomalies.

10.4 Global “Blue Pencil” Severability

If any phrase, sentence, clause, or section of this Privacy Policy is declared invalid, illegal, or unenforceable by an international tribunal or arbitrator, that specific provision shall be reformed to the minimum extent necessary to make it valid and enforceable, preserving to the absolute maximum extent the liability shields, data licenses, royalty calculation exclusions, and risk allocations intended.

EXHIBIT A: BIOMETRIC & AI TRAINING CONSENT FOR USERS/CLIENTS

Required for Voice, Video, Face, or Behavioral Data Processing

To utilize voice, video, or other biometric features on the Third Network, AAHM Technologies LLC must obtain your explicit, separate, affirmative consent. This consent operates in tandem with, and is governed by the liability shields and dispute resolution mechanics of, the AAHM Terms and Conditions.

1. What We Collect

If you initiate voice/video sessions, perform high-risk human mesh routing, or upload rich media, we may collect biometric identifiers and biometric information, including: voiceprints, facial geometry, eye tracking profiles, keystroke patterns, and behavioral characteristics derived from your interactions (“Biometric Data”).

2. Why We Collect It

We utilize Biometric Data for three (3) distinct purposes only:

• Service Functionality: To match you with Experts, transmit your multi-modal voice/video stream in real-time across the infrastructure, and verify identity to prevent systemic network fraud.
• AI Training & Digital Legacy: To de-identify, tokenize, and vectorize session data to train, improve, and execute AAHM’s self-learning neural networks, Large Language Models, and “Digital Legacy / Wisdom-as-a-Software” systems per Section 6.1 of the Terms and Conditions. The Client assumes 100% risk for all human intervention routed through the 20% Judgment Real-Time Window pursuant to Terms and Conditions Sec 3.4.
• Royalty Metric Attestation: To verify human presence, engagement time, and interaction volume required to validate accurate calculations under our Self-Learning AI Royalty Infrastructure.

3. How Long We Keep It

• Service Functionality Storage: Raw audio/video recordings and non-vectorized biometric strings are permanently deleted or cryptographically shredded within thirty (30) days after your session terminates.
• AI Training Vectors: De-identified vectors derived from your Biometric Data may be retained indefinitely to optimize our mathematical models. They cannot be used to recreate your individual physical identity.
• Legal & Financial Holds: Telemetry logs matching your interaction hours to financial accounts will be retained for up to seven (7) years to satisfy structural tax and platform financial audit metrics.

4. Who We Share It With

AAHM does not sell Biometric Data. We share de-identified vectors only with:

• Vendors: Cloud hosting infrastructure providers and AI compute processors who are contractually bound to implement strict security shields and use data only for AAHM.
• Legal Entities: If required by law, court order, or to protect the systemic safety of the mesh.
• Successors: If AAHM undergoes a merger, acquisition, or asset transfer, the acquiring entity remains bound by this Consent instrument.

5. Your Rights & Choice Framework

• Withdrawal: You may revoke this consent at any time within Settings > Privacy. We will immediately cease new collection and delete raw Biometric Data within thirty (30) days. De-identified vectors already deployed into model training cannot be recalled. Revocation immediately terminates your eligibility for future royalty distributions generated by our self-learning AI.
• Access/Delete: Request a copy or purging of your profile Biometric Data via privacy@aahm.ai. AAHM will respond within thirty (30) days.
• Opt-Out of Training: You may use basic features of the platform without contributing to AI Training by toggling off “Improve AAHM with my data” in Settings. Advanced multi-modal routing may be limited and royalty distribution will be deactivated.

6. Statutory Execution

By clicking “I Agree,” you provide explicit, informed, and written consent under:

• Illinois BIPA 740 ILCS 14/15
• Texas CUBI Bus. & Com. §503.001
• Washington My Health My Data Act
• EU GDPR Article 9(2)(a)
• India DPDP Act Section 7
• Florida Digital Bill of Rights (FDBR)

You explicitly understand, acknowledge, and agree that your data may be transferred to, cross-routed through, and processed in the United States and Singapore.

AFFIRMATIVE EXECUTION

[ ] I HAVE READ THIS CONSENT. I AFFIRMATIVELY AND IRREVOCABLY CONSENT TO AAHM’S

COLLECTION, STORAGE, USE, AND DISCLOSURE OF MY BIOMETRIC DATA FOR SERVICE

FUNCTIONALITY, SYSTEMIC ACCOUNTING, AND AI TRAINING AS DESCRIBED ABOVE.

[ ] I DECLINE. Do not collect my Biometric Data. I understand that voice,

video, and multi-modal mesh features, as well as AI royalty tracking pools,

will be permanently disabled.

Name: _____________________

Date: _____________________

Signature / Clickwrap Timestamp: _____________________