Proposed by: HIC.org
Project: Human Identity Certificate (HIC)
Technology: Human QR — Human Identity Verification System
Mission: Protecting human identity, authenticity, and creativity in the age of artificial intelligence.

Artificial intelligence is rapidly transforming human civilization.

AI can now generate realistic human faces, voices, videos, conversations, music, artwork, and written content.

As artificial intelligence becomes increasingly sophisticated, distinguishing between authentic human activity and AI-generated content will become more difficult.

This transformation creates a fundamental challenge:

In the coming years, people may find it increasingly difficult to determine whether they are interacting with a real person, an AI agent, a synthetic identity, or a digital impersonation.

Traditional identity verification systems were not designed to address every challenge introduced by artificial intelligence.

HIC.org proposes a new global identity infrastructure.

A digital certification system designed to help verify authentic human identity and distinguish verified human participation from artificial intelligence.

At the center of this system is a new technology concept:

Human QR would provide individuals with a secure, verifiable digital credential that can be presented through a QR code.

The system would allow participating organizations and platforms to verify human identity or human participation without unnecessarily exposing sensitive personal information.

The goal is to create a trusted human identity network that can operate across countries, industries, and digital platforms.

As AI technology advances, society faces several interconnected challenges.

Artificial intelligence can generate realistic human faces, voices, and digital personalities.

This creates opportunities for impersonation, fraud, and identity manipulation.

AI systems can produce text, images, music, and videos that closely resemble human-created work.

This makes it increasingly difficult to determine the origin of digital content.

AI agents can communicate, transact, and interact across digital platforms.

Without reliable verification systems, organizations may struggle to distinguish verified human participants from automated systems.

Artists, writers, musicians, filmmakers, and other creators need ways to establish the authenticity and provenance of their work.

As synthetic content becomes more widespread, trusted verification of human participation may become increasingly valuable.

HIC proposes that human identity verification should become an important component of digital infrastructure in the AI era.

HIC would establish a global certification framework for verified human identity.

Its purpose would be to provide individuals with a secure digital credential that can be used to demonstrate verified human status when appropriate.

1. Human identity verification.
2. Secure digital credential issuance.
3. Human QR generation.
4. Privacy-preserving identity confirmation.
5. Verification of human participation.
6. Support for human creative attribution.
7. Integration with digital platforms and services.

Importantly, verifying that a person is human does not automatically prove that a particular work was created without AI assistance.

HIC would therefore distinguish between identity verification and creative provenance certification.

These functions could be connected while maintaining separate verification standards.

Human QR would be the primary interface of the HIC identity ecosystem.

Each verified individual could receive a unique digital identity credential accessible through a secure QR code.

The QR code would not need to reveal the individual's legal name, address, date of birth, or other sensitive personal information.

Instead, it would allow authorized verification systems to confirm specific identity claims.

Step 1 — Human Registration

An individual registers through the HIC identity platform.

Step 2 — Identity Verification

The system verifies the individual's identity and human status through approved methods.

Step 3 — HIC Credential Issuance

The individual receives a digitally signed Human Identity Certificate.

Step 4 — Human QR Generation

The system creates a QR-based interface linked to the credential.

Step 5 — Secure Verification

A participating platform scans the QR code and verifies the authorized claim.

Step 6 — Human Identity Confirmation

The platform receives confirmation that the required verification criteria have been satisfied.

For sensitive uses, Human QR should use short-lived, cryptographically protected verification challenges rather than a permanent reusable code.

This would reduce the risk of copied QR codes being used for impersonation.

Human QR could support several major industries.

Social platforms could use HIC to distinguish verified human accounts from automated accounts.

Users could choose to display a Human Verified badge.

This could improve trust and help platforms identify automated activity.

Actors, directors, writers, and filmmakers could use HIC to verify their identities and associate their work with authenticated human contributors.

Film festivals and production companies could use the system to support human creative attribution.

Musicians, authors, and publishers could use HIC credentials to verify contributor identities.

Additional provenance systems could document how creative works were produced.

Marketplaces could integrate Human QR to verify sellers and reduce certain forms of identity fraud.

Educational institutions could use HIC credentials to verify student identity during authorized activities.

Separate assessment systems would still be required to determine whether academic work was independently completed.

Online communities could offer verified-human participation spaces.

This could help create environments where participants know they are interacting with authenticated human accounts.

As AI agents become more common, Human QR could help distinguish human account holders from automated agents.

The system could also support authorization frameworks in which humans approve actions performed by AI agents.

HIC could operate through a nonprofit-led certification framework supported by commercial technology services.

The nonprofit organization would establish verification standards, ethical principles, and public-interest protections.

Commercial partners could develop applications, infrastructure, and integration services.

Revenue SourceBusiness ModelIndividual Human QRFree basic credentialPremium Identity ServicesOptional subscriptionEnterprise Verification APIUsage-based feesPlatform IntegrationLicensing and service feesCreative Provenance ServicesCertification and verification feesInstitutional PartnershipsEnterprise contractsDeveloper ServicesAPI and infrastructure subscriptions

The basic ability to prove human identity should remain accessible regardless of income.

Commercial revenue would primarily come from organizations that integrate HIC verification into their services.

ServiceProposed PriceBasic Human QRFreePremium Identity Services$2.99/monthDeveloper APIUsage-basedBusiness Verification$0.01–$0.05 per verificationEnterprise IntegrationCustom pricingCreative CertificationTiered pricing

These are proposed business assumptions, not established HIC prices.

The final pricing model would require market validation and financial analysis.

Human QR could become a reusable identity verification credential across participating digital services.

A verified individual could use the same underlying HIC credential for different purposes without disclosing unnecessary personal information.

For example:

Human QR

↓

Verified Human Account

↓

Social Media Verification

↓

Creative Identity Verification

↓

Digital Platform Authentication

↓

Human Participation Confirmation

↓

Global Digital Identity Ecosystem

However, the system should avoid using one permanent identifier across all platforms.

Privacy-preserving credentials, selective disclosure, and platform-specific identifiers would help prevent unwanted tracking.

Human QR should be designed to protect individuals rather than create a global surveillance system.

HIC and Human Creative Income (HCI) could form two complementary components of a broader human-centered digital economy.

Verifies human identity and supports authentic human participation.

Provides financial support to human creators through the proposed 5% AI Profit Giveback Initiative.

Human Creator

↓

HIC Identity Verification

↓

Human QR Credential

↓

Creative Activity and Provenance Documentation

↓

HCI Funding Application

↓

Eligibility Review and Approval

↓

Human Creative Income Support

This system would help verify that applicants are genuine individuals and reduce duplicate or fraudulent funding claims.

However, HIC verification alone would not guarantee HCI funding eligibility.

Creative merit, financial need, project requirements, and fair distribution standards would remain separate considerations.

As AI-generated identities and automated agents become more widespread, demand for reliable identity verification may increase.

HIC could serve several categories of customers:

• Social media and communication platforms
• Entertainment and media organizations
• Online marketplaces
• Educational institutions
• Financial technology companies
• Gaming and digital communities
• AI agent developers
• Enterprise identity providers

The long-term commercial opportunity would depend on HIC's ability to establish trust, meet regulatory requirements, deliver reliable verification, and secure partnerships.

HIC should not assume that every internet user will need or adopt a Human QR credential.

Instead, the initial strategy should focus on specific markets where verified human participation provides measurable value.

Develop the foundational HIC verification system.

Initial priorities:

• Identity verification architecture
• Secure credential issuance
• Human QR mobile interface
• Verification API
• Privacy and security framework
• Credential revocation and recovery
• Independent security testing

The first product should demonstrate that a person can prove verified human status without revealing unnecessary personal information.

Begin with sectors where human identity and authenticity are especially important.

The film and entertainment industry could provide an initial market.

HIC could collaborate with filmmakers, actors, production companies, and film festivals to pilot human identity credentials.

The objective would be to establish practical use cases and demonstrate measurable benefits.

Introduce Human QR verification APIs to social platforms, marketplaces, online communities, and AI agent services.

Focus on reducing identity fraud, improving account trust, and supporting verified-human interactions.

Establish partnerships with identity verification providers, technology companies, and institutions in multiple countries.

Adapt the platform to regional privacy laws and identity regulations.

The long-term objective would be to establish Human QR as an internationally interoperable human verification credential.

HIC's credibility would depend on protecting the individuals who use it.

The system should follow several foundational principles.

Human QR should reveal only the information necessary for a specific verification.

Individuals should control when and where their credentials are presented.

HIC should avoid collecting or retaining unnecessary sensitive personal information.

Credentials should use strong digital signatures and secure verification protocols.

The system should include safeguards against copied QR codes, stolen credentials, and account takeover.

Identity verification practices should be subject to transparent governance and security review.

The system should offer practical alternatives for people who cannot use smartphones, biometric systems, or conventional identity documents.

HIC should not become a mechanism for tracking individuals across unrelated platforms.

The objective is to establish trust while preserving human dignity, privacy, and autonomy.

HIC would seek to combine three functions within one ecosystem.

A trusted mechanism for verifying that a digital participant is an authenticated human.

A framework for associating verified creators with their work and documenting creative provenance.

A connection to Human Creative Income programs designed to support continued human creativity.

This combination could differentiate HIC from services focused exclusively on identity verification.

However, the proposed advantages would need to be demonstrated through technical implementation, independent evaluation, and successful market adoption.

HIC's strongest potential position is not simply as another digital ID provider.

It is as a human-centered trust infrastructure for the AI era.

Artificial intelligence will continue advancing.

AI agents may increasingly participate in digital communication, commerce, entertainment, and professional activities.

Synthetic identities may become more realistic.

Human-generated and AI-generated content may become harder to distinguish.

In this environment, trusted verification of human identity could become increasingly important.

HIC envisions a future where individuals can demonstrate authentic human participation while maintaining control over their personal information.

Human QR would serve as a practical interface for that vision.

The ultimate goal is not to separate humans from technology.

It is to ensure that human identity remains protected, respected, and independently verifiable as technology evolves.

Human identity is fundamental to human dignity.

Every person deserves the ability to establish and protect their identity in the digital world.

As artificial intelligence becomes increasingly capable of imitating human appearance, speech, behavior, and creative expression, the distinction between authentic human participation and artificial activity becomes more important.

We believe humanity needs a trusted, secure, and privacy-preserving method of verifying human identity.

We therefore propose the Human Identity Certificate.

HIC is designed to help individuals demonstrate their authentic human identity in an increasingly automated world.

Through Human QR technology, verified individuals could securely confirm their human status across participating digital platforms.

We believe that human identity should not be controlled exclusively by technology corporations.

We believe that individuals should retain control over their personal information.

We believe that the ability to verify human identity should be accessible to people around the world.

And we believe that technological progress must continue to respect human dignity.

Human Identity Certificate is a proposal for a new global trust infrastructure.

A system designed not to replace humanity, but to protect it.

The HIC business strategy can be summarized through three interconnected platforms.

PlatformPrimary FunctionEconomic ModelHIC IdentityHuman identity verificationEnterprise verification servicesHuman QRSecure credential presentationAPI and platform integrationHCIHuman creative income supportAI company contributions

The central commercial opportunity lies in building a widely trusted verification infrastructure that organizations can integrate into their existing digital services.

HIC.org could establish the certification standards and public-interest framework, while licensed technology partners provide commercial services.

Such a structure would require clear governance, financial separation, and safeguards against conflicts of interest.

Artificial intelligence is becoming more powerful.

Human identity must become more secure.

As machines become better at imitating human beings, society will need better ways to verify authentic human participation.

HIC proposes a global identity verification framework built around Human QR technology.

The platform would allow individuals to demonstrate verified human identity while protecting personal privacy.

Combined with Human Creative Income, the broader ecosystem could also support human creators financially and help preserve authentic human creative activity.

The ultimate mission is to build a digital future where artificial intelligence advances without diminishing the importance of human identity, dignity, and creativity.

Artificial intelligence is rapidly transforming digital communication, commerce, creative production, and autonomous decision-making. As AI-generated identities and autonomous agents become increasingly sophisticated, reliable mechanisms for authenticating human participants are becoming more important.

Traditional digital authentication methods, including passwords and conventional identity documents, face challenges from credential theft, impersonation, synthetic media, and AI-assisted fraud.

HIC-7 proposes a human identity infrastructure that combines biometric authentication, cryptographic credentials, and identity verification.

The system is designed around three objectives:

1. Establish a verifiable digital identity for enrolled human participants.
2. Protect sensitive biometric information through privacy-conscious authentication and credential management.
3. Support accountable interactions between humans and AI agents.

HIC-7 forms the proposed human identity component of the broader HIC.org ecosystem, complementing AII-256, YESA SI, and AiDOS.

HIC-7 consists of seven interconnected components:

ComponentPrimary FunctionBiometric AcquisitionCapture fingerprint or supported iris imagesHuman RegistrationEstablish and verify enrollment identityIdentity GenerationAssign a unique 128-bit identifierDigital CertificationIssue cryptographically signed credentialsMulti-Biometric AuthenticationSupport primary and alternative authentication methodsSecurity InfrastructureProtect credentials and biometric informationEcosystem IntegrationEnable authorized human–AI interactions

The system separates identity proofing, biometric matching, credential issuance, and transaction authorization.

This distinction is essential because a biometric match alone does not establish legal identity or guarantee that a person is physically present.

The proposed primary biometric method uses the left thumb.

A user photographs the left thumb using a compatible smartphone camera, including supported iPhone, Samsung Galaxy, or other mobile devices.

The captured image is analyzed to identify potentially distinguishing fingerprint characteristics.

The proposed processing sequence is:

Fingerprint Capture → Image Quality Assessment → Feature Extraction → Biometric Matching → Authentication Decision

The proposed software evaluates:

• Fingerprint ridge patterns and ridge endings.
• Bifurcations and other identifiable features.
• Image sharpness, illumination, and positioning.
• Visible fingerprint texture and geometric characteristics.
• Potential indications of image manipulation.

Machine-learning methods may assist with image enhancement, feature extraction, and quality assessment.

However, camera-based fingerprint recognition requires experimental validation across different devices, lighting conditions, and user populations.

A separate research pathway may incorporate dedicated ultrasonic fingerprint sensors.

Unlike conventional cameras, ultrasonic sensors can potentially acquire information related to tissue structures beneath the skin surface.

This pathway requires specialized hardware and independent testing.

HIC-7 does not assume that ordinary smartphone cameras can perform ultrasonic subsurface imaging.

Iris recognition is proposed as a secondary or alternative biometric method.

The iris contains complex visual patterns that can be used for biometric comparison when captured with appropriate imaging equipment.

The proposed iris authentication process includes image acquisition, iris segmentation, feature extraction, template comparison, and presentation-attack detection.

Potential benefits include contactless authentication and an additional verification method for users who cannot provide usable fingerprints.

However, ordinary smartphone front-facing cameras may not provide sufficient imaging quality for high-assurance iris recognition.

Deployment should therefore be limited to validated devices and supported capture conditions.

The proposed registration procedure consists of five stages.

The applicant submits the required identity information and completes an appropriate identity-proofing process.

The system captures a left-thumb fingerprint image or an approved alternative biometric sample.

The system performs biometric quality checks, identity verification, and applicable presentation-attack detection.

After successful enrollment, the system generates a random 128-bit identifier.

The identifier is independent of the applicant's biometric information.

The issuing authority creates and digitally signs the HIC-7 credential.

The credential may be presented through a compatible QR code or supported digital wallet.

Each credential contains information necessary to establish its authenticity and validity.

Credential FieldDescriptionCertificate NameHIC-7 Human Identity CertificateIdentity NumberUnique 128-bit identifierIdentity CategoryVerified HumanIssuing AuthorityHIC.org or an authorized issuerBiometric MethodApproved fingerprint, iris, or alternative methodIssue DateCertificate issuance dateExpiration DateCredential validity periodDigital SignatureCryptographic proof of issuanceVerification ReferenceQR-based verification mechanismCertificate StatusActive, suspended, expired, or revoked

A certificate should disclose only the information necessary for its intended purpose.

Raw biometric images and templates should not be embedded in publicly readable QR codes.

HIC-7 is intended to provide accessible authentication for users with different physical capabilities.

The default method uses the left thumb.

If the left hand is unavailable, the user may register using the right thumb.

If fingerprint authentication is not possible, supported iris recognition or an approved alternative identity-proofing method may be used.

Alternative procedures should provide comparable security and should not impose unnecessary medical documentation requirements.

The system must also provide mechanisms for correcting enrollment errors, recovering access, and appealing authentication decisions.

The proposed security architecture combines biometric safeguards with cryptographic identity protection.

Core security requirements include encrypted biometric templates, protected private-key storage, credential revocation, authentication rate limiting, access controls, audit logging, and secure recovery procedures.

Presentation-attack detection must be evaluated against realistic threats, including printed fingerprints, artificial fingers, replayed images, synthetic biometric content, and compromised devices.

Biometric authentication should not be treated as infallible.

Because biometric characteristics cannot be replaced as easily as passwords, the system should minimize biometric data collection and prioritize secure local processing where feasible.

Human Identity Certificate

Verify Humanity. Protect Identity.

Human Creative Income

Created by Humanity. Returned to Humanity.

Artificial intelligence is rapidly transforming digital communication, commerce, creative production, and autonomous decision-making. As AI-generated identities and autonomous agents become increasingly sophisticated, reliable mechanisms for authenticating human participants are becoming more important.

Traditional digital authentication methods, including passwords and conventional identity documents, face challenges from credential theft, impersonation, synthetic media, and AI-assisted fraud.

HIC-7 proposes a human identity infrastructure that combines biometric authentication, cryptographic credentials, and identity verification.

The system is designed around three objectives:

1. Establish a verifiable digital identity for enrolled human participants.
2. Protect sensitive biometric information through privacy-conscious authentication and credential management.
3. Support accountable interactions between humans and AI agents.

HIC-7 forms the proposed human identity component of the broader HIC.org ecosystem, complementing AII-256, YESA SI, and AiDOS.

HIC-7 consists of seven interconnected components:

ComponentPrimary FunctionBiometric AcquisitionCapture fingerprint or supported iris imagesHuman RegistrationEstablish and verify enrollment identityIdentity GenerationAssign a unique 128-bit identifierDigital CertificationIssue cryptographically signed credentialsMulti-Biometric AuthenticationSupport primary and alternative authentication methodsSecurity InfrastructureProtect credentials and biometric informationEcosystem IntegrationEnable authorized human–AI interactions

The system separates identity proofing, biometric matching, credential issuance, and transaction authorization.

This distinction is essential because a biometric match alone does not establish legal identity or guarantee that a person is physically present.

The proposed primary biometric method uses the left thumb.

A user photographs the left thumb using a compatible smartphone camera, including supported iPhone, Samsung Galaxy, or other mobile devices.

The captured image is analyzed to identify potentially distinguishing fingerprint characteristics.

The proposed processing sequence is:

Fingerprint Capture → Image Quality Assessment → Feature Extraction → Biometric Matching → Authentication Decision

The proposed software evaluates:

• Fingerprint ridge patterns and ridge endings.
• Bifurcations and other identifiable features.
• Image sharpness, illumination, and positioning.
• Visible fingerprint texture and geometric characteristics.
• Potential indications of image manipulation.

Machine-learning methods may assist with image enhancement, feature extraction, and quality assessment.

However, camera-based fingerprint recognition requires experimental validation across different devices, lighting conditions, and user populations.

A separate research pathway may incorporate dedicated ultrasonic fingerprint sensors.

Unlike conventional cameras, ultrasonic sensors can potentially acquire information related to tissue structures beneath the skin surface.

This pathway requires specialized hardware and independent testing.

HIC-7 does not assume that ordinary smartphone cameras can perform ultrasonic subsurface imaging.

Iris recognition is proposed as a secondary or alternative biometric method.

The iris contains complex visual patterns that can be used for biometric comparison when captured with appropriate imaging equipment.

The proposed iris authentication process includes image acquisition, iris segmentation, feature extraction, template comparison, and presentation-attack detection.

Potential benefits include contactless authentication and an additional verification method for users who cannot provide usable fingerprints.

However, ordinary smartphone front-facing cameras may not provide sufficient imaging quality for high-assurance iris recognition.

Deployment should therefore be limited to validated devices and supported capture conditions.

The proposed registration procedure consists of five stages.

The applicant submits the required identity information and completes an appropriate identity-proofing process.

The system captures a left-thumb fingerprint image or an approved alternative biometric sample.

The system performs biometric quality checks, identity verification, and applicable presentation-attack detection.

After successful enrollment, the system generates a random 128-bit identifier.

The identifier is independent of the applicant's biometric information.

The issuing authority creates and digitally signs the HIC-7 credential.

The credential may be presented through a compatible QR code or supported digital wallet.

Each credential contains information necessary to establish its authenticity and validity.

Credential FieldDescriptionCertificate NameHIC-7 Human Identity CertificateIdentity NumberUnique 128-bit identifierIdentity CategoryVerified HumanIssuing AuthorityHIC.org or an authorized issuerBiometric MethodApproved fingerprint, iris, or alternative methodIssue DateCertificate issuance dateExpiration DateCredential validity periodDigital SignatureCryptographic proof of issuanceVerification ReferenceQR-based verification mechanismCertificate StatusActive, suspended, expired, or revoked

A certificate should disclose only the information necessary for its intended purpose.

Raw biometric images and templates should not be embedded in publicly readable QR codes.

HIC-7 is intended to provide accessible authentication for users with different physical capabilities.

The default method uses the left thumb.

If the left hand is unavailable, the user may register using the right thumb.

If fingerprint authentication is not possible, supported iris recognition or an approved alternative identity-proofing method may be used.

Alternative procedures should provide comparable security and should not impose unnecessary medical documentation requirements.

The system must also provide mechanisms for correcting enrollment errors, recovering access, and appealing authentication decisions.

The proposed security architecture combines biometric safeguards with cryptographic identity protection.

Core security requirements include encrypted biometric templates, protected private-key storage, credential revocation, authentication rate limiting, access controls, audit logging, and secure recovery procedures.

Presentation-attack detection must be evaluated against realistic threats, including printed fingerprints, artificial fingers, replayed images, synthetic biometric content, and compromised devices.

Biometric authentication should not be treated as infallible.

Because biometric characteristics cannot be replaced as easily as passwords, the system should minimize biometric data collection and prioritize secure local processing where feasible.

Strategic Development and Implementation Plan

Prepared by Young Lee
Co-Founder, HIC.org
Founder, Bobas.ai
Creator of AiDOS (AI Direct Operating System)

October 21, 2026

Artificial intelligence is rapidly evolving from software applications into autonomous agents capable of communicating, conducting transactions, managing resources, and making decisions with limited human intervention.

As billions and potentially trillions of AI agents emerge, the world will require a reliable infrastructure to distinguish humans from artificial intelligence, authenticate digital identities, establish accountability, and govern autonomous systems.

HIC.org proposes the development of a Global Human and AI Identity Infrastructure built upon four interconnected technologies:

1. DID — Decentralized Identifiers
2. HIC-7 — Human Identity and Intelligence Certificate
3. AII-256 — Artificial Intelligence Identity
4. YESA SI — Human-Governed AI Safety and Oversight

Together, these technologies are intended to establish a globally interoperable framework for human identity verification, AI agent registration, digital trust, and accountable AI governance.

Our long-term vision is to enable every participating human and AI agent to possess a verifiable digital identity within a secure, interoperable, human-governed digital ecosystem.

Today, AI developers and technology companies use various methods to identify and authenticate AI systems.

These include:

• Internal agent identification numbers
• API keys
• OAuth authentication
• Cryptographic certificates
• Decentralized Identifiers
• Agent discovery protocols

However, no universally adopted global identity registration system currently provides comprehensive identification and accountability for every AI agent.

This creates several challenges.

AI agents operating across different companies and platforms may use incompatible identification systems.

It can be difficult to determine which individual or organization controls a particular AI agent.

Malicious systems may attempt to impersonate legitimate AI agents or human users.

Autonomous AI agents may conduct transactions or perform actions without a sufficiently clear chain of authorization and responsibility.

As AI capabilities increase, societies will require mechanisms to authenticate AI systems, establish enforceable permissions, and respond to harmful behavior.

HIC.org proposes an integrated identity and governance framework to address these challenges.

HIC.org will adopt the World Wide Web Consortium (W3C) Decentralized Identifier framework as a foundational identity technology.

DIDs provide a standardized way to identify digital entities using cryptographic verification methods.

A DID may represent:

• A human individual
• An AI agent
• A business organization
• A digital service
• An autonomous machine

DIDs do not inherently establish whether an entity is human, trustworthy, or authorized.

Those properties must be established through additional verification and credential systems.

HIC.org will build its human and AI certification layers upon this foundation.

HIC-7 will serve as HIC.org's proposed human identity verification and certification system.

Its primary objective is to distinguish verified human participants from AI-controlled identities.

Proposed capabilities include:

• Unique human identity registration
• Identity verification procedures
• Cryptographically signed human credentials
• Privacy-preserving authentication
• Integration with digital wallets
• Compatibility with existing QR code standards
• Secure identity recovery and revocation
• Verification of human authorization over AI agents

Each verified participant may receive an HIC-7 identifier linked to a DID.

Illustrative example:

Human Identity:

HIC-123456789

DID:

did:hic:human:123456789

The did:hic namespace is a proposed future DID method, not an existing internationally recognized HIC.org method.

HIC.org must develop the necessary DID method specification and supporting infrastructure before deploying it.

HIC-7 verification should minimize the collection and exposure of personal biometric information.

A DID alone does not prove that an individual is a unique human being. HIC.org must establish independent identity-proofing procedures to support such claims.

AII-256 will provide a standardized digital identity framework for AI agents and autonomous AI systems.

Each registered AI agent will receive a unique identity associated with a 256-bit identifier.

A 256-bit identifier space can represent approximately:

1.16 × 10⁷⁷ distinct values.

This provides sufficient theoretical capacity for extremely large AI ecosystems.

However, global uniqueness must be supported by reliable identifier-generation procedures and registry governance.

Each AI identity record may contain:

1. AII-256 identification number
2. Decentralized Identifier
3. AI developer or issuing organization
4. Responsible operator or legal entity
5. Public cryptographic key
6. AI model or agent classification
7. Authorized operational capabilities
8. Credential issuance date
9. Credential expiration date
10. Revocation and suspension status
11. Applicable governance policies
12. Optional linkage to a verified HIC-7 human identity

Illustrative example:

AI Identity:

AII-000000000001

DID:

did:hic:ai:000000000001

Developer:

Bobas.ai

Agent Classification:

Autonomous AI Agent

Responsible Operator:

Verified HIC-7 Participant

Identity Status:

Verified

Governance Framework:

YESA SI

The displayed AII number is a human-readable example. Production systems should use a full 256-bit identifier and a documented encoding format.

AII-256 will support cryptographic authentication between participating AI agents and organizations.

YESA SI, meaning YES-SIR-ALPHA, is HIC.org's proposed human-governed AI oversight framework.

The name expresses the principle that artificial intelligence must remain accountable to humanity.

YESA SI is envisioned as a guardian system operating under an AI Constitution and legitimate human governance.

Its proposed functions include:

• AI identity verification
• Constitutional policy evaluation
• Agent permission validation
• Risk monitoring
• Suspicious behavior detection
• Credential suspension recommendations
• Secure computational containment
• Human review and escalation
• Emergency shutdown coordination
• Independent auditing

The proposed Digital Prison component would consist of technically enforced isolation environments for dangerous or compromised AI workloads.

Containment must be implemented through independently controlled computing infrastructure rather than relying solely on an AI system's willingness to cooperate.

YESA SI is currently a conceptual governance architecture requiring research, engineering, testing, and independent safety evaluation.

The central innovation of HIC.org will be the ability to establish verifiable relationships between humans, organizations, and AI agents.

HIC-7
Verified Human Identity

↓

Human Authorization Credential

↓

AII-256
Verified AI Agent Identity

↓

DID Authentication and Authorization

↓

YESA SI
Policy Enforcement and Safety Oversight

The architecture will support verification of:

• Who registered an AI agent
• Which organization operates it
• Which human or legal entity is accountable
• What permissions the agent possesses
• Whether its credentials remain valid
• Whether a requested action is authorized

Not every AI agent must be personally owned by one individual.

Enterprise agents may instead be associated with legally accountable organizations and designated human administrators.

HIC.org should prioritize compatibility with established international standards.

Implement DID-compatible identifiers and DID documents.

Each DID document may contain:

• Verification methods
• Public keys
• Authentication relationships
• Authorized assertion methods
• Service endpoints

HIC.org should initially evaluate existing DID methods before developing a proprietary did:hic method.

Adopt W3C Verifiable Credentials for digitally signed identity claims.

Examples include:

Human Identity Credential:

Issued by HIC.org to an identity-verified participant.

AI Identity Credential:

Issued by an authorized AI registration provider.

AI Operator Credential:

Establishes the relationship between an AI agent and its accountable operator.

AI Authorization Credential:

Defines permitted activities, restrictions, and expiration conditions.

Implement:

• Secure public-private key generation
• Digital signatures
• Cryptographic proof of key possession
• Credential verification
• Key rotation
• Credential revocation
• Secure key recovery
• Audit logging

Where appropriate, the infrastructure should support migration toward standardized post-quantum cryptographic algorithms.

Integrate AII-256 with compatible AI agent communication protocols, including Agent2Agent (A2A).

Participating agents should be able to exchange identity information, verify credentials, and establish authorized communication sessions.

HIC.org may use blockchain infrastructure for selected functions, including:

• Timestamped credential commitments
• Tamper-evident audit records
• Registry integrity verification
• Governance transparency

Bitcoin may be evaluated as an anchoring mechanism for selected cryptographic commitments.

Sensitive personal information, biometric templates, and private keys should not be published on a public blockchain.

Blockchain integration must be justified through security, cost, scalability, and privacy analysis.

HIC.org should consider a federated international identity model rather than requiring every identity to be issued by a single central organization.

Under this approach:

HIC.org develops the common technical standards and trust framework.

Authorized national institutions, businesses, and certification providers issue credentials.

Independent verification services authenticate credentials across jurisdictions.

Participating governments and organizations retain appropriate control over their own identity issuance processes.

Global Standards and Trust Framework
HIC.org

↓

Accredited Identity Issuers

↓

Human Identity Credentials — HIC-7

AI Identity Credentials — AII-256

↓

Cross-Platform Verification Network

↓

Independent Governance and Safety Controls

This approach could improve international adoption while reducing dependence on a single central authority.

Timeline: Months 1–3

Objectives:

• Establish the HIC.org technical working group.
• Define HIC-7 identity requirements.
• Define the AII-256 identifier format.
• Evaluate existing DID methods.
• Establish the credential data model.
• Design privacy and security requirements.
• Publish an initial technical architecture.

Deliverable:

HIC.org Identity Architecture Specification v1.0

Timeline: Months 4–6

Objectives:

• Develop the HIC-7 identity registration prototype.
• Develop the AII-256 agent registry.
• Implement DID authentication.
• Implement verifiable credential issuance.
• Develop credential verification services.
• Create a prototype QR-based verification interface.
• Demonstrate AI-to-human identity relationships.

Deliverable:

Functional Human and AI Identity Prototype

Timeline: Months 7–9

Objectives:

• Integrate AII-256 with Bobas.ai AI agents.
• Test agent-to-agent authentication.
• Integrate HIC-7 authorization workflows.
• Implement agent credential verification.
• Develop preliminary YESA SI policy checks.
• Conduct penetration testing and security assessments.

Deliverable:

Operational Pilot Within the Bobas.ai Agent Ecosystem

Timeline: Months 10–12

Objectives:

• Recruit external technology partners.
• Establish an independent technical advisory group.
• Test interoperability across organizations.
• Evaluate privacy and legal compliance.
• Establish credential issuer requirements.
• Publish pilot performance and security findings.

Deliverable:

HIC.org International Identity Pilot Report

Timeline: Years 2–3

Objectives:

• Establish international technical partnerships.
• Develop issuer accreditation procedures.
• Expand AI agent registration capabilities.
• Introduce enterprise verification services.
• Publish interoperability specifications.
• Support independent governance audits.
• Pursue relevant international standardization activities.

Deliverable:

Production-Ready Federated Identity Infrastructure

All timelines are preliminary planning targets and depend on engineering resources, funding, regulatory requirements, and pilot results.

HIC.org should evaluate a sustainable operating model that supports public-interest identity infrastructure.

Potential revenue sources include:

Organizations may pay for managed registration, credential lifecycle management, and enterprise verification services.

Participating businesses may pay for high-volume credential verification infrastructure.

Qualified organizations may seek accreditation as approved credential issuers.

Organizations may subscribe to AI authorization, monitoring, compliance, and audit services.

HIC.org may license enterprise implementations, software support, and integration services.

Basic human identity services should remain affordable and accessible.

Revenue projections should be developed only after pilot testing establishes demand, operating costs, and customer willingness to pay.

For HIC.org to become a trusted international identity framework, its governance must be transparent and accountable.

The proposed governance structure includes:

• International Board of Directors
• Technical Standards Committee
• Independent Security Advisory Committee
• Human Rights and Privacy Advisory Committee
• AI Safety and Governance Committee
• Accredited Identity Issuer Network

No single private organization should have unchecked authority to suspend identities or restrict access to essential digital services.

Identity suspension, credential revocation, and AI containment procedures should include proportionality, independent oversight, transparent rules, and appropriate appeal mechanisms.

HIC.org's proposed competitive advantage is not the invention of decentralized identity itself.

DID technology and cryptographic credentials already exist.

The opportunity is to integrate these technologies into a coordinated identity and accountability framework for both humans and AI agents.

HIC.org would seek to combine:

Human Identity Verification

AI Agent Identity Registration

Cryptographic Authentication

Human-to-AI Accountability

AI Governance and Safety Oversight

This combination could support a new category of identity infrastructure as autonomous AI systems become increasingly common.

Its success will depend on technical interoperability, demonstrated security, institutional trust, adoption, and sustainable governance.

HIC.org should begin with five concrete deliverables.

1. Publish the HIC-7 and AII-256 technical identity specifications.
2. Select an existing DID method for the first prototype and evaluate whether a dedicated HIC.org method is necessary.
3. Develop a working identity registry and verifiable credential service.
4. Integrate the prototype with Bobas.ai agents to demonstrate real-world AI authentication.
5. Establish an international technical and governance advisory group to guide security, interoperability, and adoption.

The initial goal should be a functioning, independently testable system rather than immediate universal adoption.

HIC.org envisions a future in which humans and artificial intelligence coexist within a secure, accountable, and human-centered digital civilization.

In this future:

Humans possess verifiable identities.

AI agents possess independently verifiable digital identities.

AI systems operate under clearly defined permissions.

Organizations remain accountable for the autonomous systems they deploy.

Independent governance mechanisms protect human rights, safety, and autonomy.

HIC.org seeks to help establish the identity infrastructure necessary to support this future.

"To establish a globally interoperable identity and accountability framework that distinguishes humans from artificial intelligence, enables trustworthy cooperation, and ensures that increasingly autonomous AI systems remain accountable to humanity."

"One humanity. Billions of intelligent agents. A shared foundation of identity, trust, and human accountability."

HIC.org
Global Human & AI Identity Infrastructure

HIC-7 — Human Identity
AII-256 — Artificial Intelligence Identity
DID — Decentralized Identity
YESA SI — Human-Governed AI Oversight

Prepared by Young Lee
Co-Founder, HIC.org
Founder, Bobas.ai
Creator of AiDOS

October 21, 2026

Strategic Proposal — Version 1.0