Biometric Government Threshold Filter (BGTF) - UATF Extension by Arema Arega

Introduction:

Within the Universal AI Threshold Framework (UATF), the Biometric Government Threshold Filter (BGTF) is a proposed government threshold system that checks AI content for protected biometric likeness - before and after deploymen - triggering allow, block, or rights-holder notifications without storing biometric data.

Direct UATF Integration

BGTF is directly linked to:

UATF - Step 0: Qualification & Accountability

(Authentication using Official ID / Biometrics)

UATF - Step 1: Filter Gates

Specifically:

Filter Gate 4 -  Privacy → Monitored by BGTF

Filter Gate 6 -  Identity / Likeness → Monitored by BGTF

Filter Gate 7 -  Copyright / IP → Monitored by:

• Content ID systems

• Performance Rights Organizations (PROs)

• Copyright / IP agencies

Audiences Benefited by BGTF Implementation

Who (Audience)	Why (Concern)	How (Solution / BGTF Impact)
Creators & Rights-Holders	AI-generated content or synthetic media could replicate your work or likeness without consent	Ensures AI systems cannot deploy protected content without verified authorization, giving creators control over their work and identity
Citizens & Identity Subjects	Personal identity may be used without knowledge, leading to fraud or impersonation scams	Protects personal biometric data with threshold verification and opt-in consent, making identity misuse detectable and preventable
Policy Makers & Regulators	AI platforms are cross-border, difficult to regulate, and can bypass existing laws	Provides a legally anchored, technology-agnostic framework for ensuring AI compliance with consent, privacy, and jurisdictional requirements

Biometric Government Threshold Filter (BGTF)

Normative / Prescriptive Definition 

The Biometric Government Threshold Filter (BGTF) is a government-operated or government-mandated, privacy-preserving threshold system that should be established to regulate the deployment, distribution, and reuse of AI-generated visual and audio outputs that may reproduce, simulate, or derive from human biometric likenesses.

BGTF should evaluate biometric similarity signals and contextual metadata at both pre-deployment and post-deployment stages to determine whether an AI output crosses legally defined biometric likeness thresholds.

The system should not store raw biometric data, operating instead through hashed, abstracted, or threshold-based similarity references linked to government-issued identity records.

Biometric Authorization & Identity Control

BGTF should use government-issued electronic identity and electronic signature systems (eID / e-signature) as a revocable and expirable biometric authorization key.

This authorization mechanism enables verified individuals, guardians, estates, or authorized agencies to grant, limit, revoke, or time-bound consent for the AI use of biometric likenesses, while ensuring traceability, auditability, and legal validity.

BGTF should integrate EU-recognised biometric and legal identity attributes, including:

• Facial image (for likeness threshold evaluation),

• Legal identity,

• Date of birth (for age and minor protection),

• Nationality,

• Legal capacity.

The system should extend protection to opt-in voice and performance biometrics, registered either through performer rights agencies or directly by individual citizens.

• Performer, composer, and creator aliases should be formally linked to verified government identities and embedded within mandatory Content ID and attribution systems, ensuring traceable licensing, attribution enforcement, and misuse detection across platforms.

What should happen when deploying AI content including traceable likedness included in Biometrics registers?

BIOMETRICS DATA:

Biometric Type	How Stored / Referenced for Validation	Already Collected by EU?	BGTF Trigger	Performer Rights Trigger	Copyright Society Trigger	Content ID Trigger	ID Recognition / Traceability Reference
Facial Image (Face Geometry)	Stored in EU border/ID databases (EES, VIS, ETIAS, passports); referenced via hash / similarity vector	✅ Yes	✅	✅	✅	✅ (for audiovisual works)	Linked to legal identity / personal ID number
Fingerprints	Stored in national ID / asylum / border databases; referenced via hash / template	✅ Yes	✅ (identity verification only)				Linked to legal identity / ID number
Iris Pattern	Stored in some national high-security ID systems; referenced via hash / template	⚠️ Limited / Optional	✅ (high-security validation)				Linked to legal identity / ID number
Legal Name + Identity	Stored in passports, national ID systems; validated via official registry	✅ Yes	✅	✅	✅	✅	Primary ID reference for all BGTF operations
Date of Birth / Age	Stored in all ID systems; referenced in deployment checks	✅ Yes	✅	✅ (minor protection)			ID reference for age verification
Nationality / Residency	Stored in border / ID registries	✅ Yes	✅	✅			Jurisdiction verification for consent & rights enforcement
Legal Capacity Status	Stored in national registries; referenced in consent verification	✅ Yes	✅	✅			Ensures authorization is valid and legally binding
Voice Biometric	Optional / opt-in; stored in government or performer agency systems; referenced via hashed voice signature	❌ Optional / opt-in	✅	✅	✅	✅ (music / audiobooks)	Linked to legal identity or performer ID

Automatic Features and Mandatory Metadata for AI Deployment & Platforms

1. Automatic Features suggested for AI Deployment:

Feature	Description	Trigger / Enforcement	Notes
Biometric Threshold Evaluation	BGTF automatically checks AI outputs against registered biometrics (facial, voice, etc.)	Pre-deployment and post-deployment	Uses hashes / similarity vectors; does not store raw biometric data
Authorization Validation	Automatically verifies consent, age legality, and scope for each biometric	Pre-deployment	Prevents underage or unauthorized use
Automatic Blocking	Prevents deployment if biometric likeness threshold is exceeded without valid authorization	Pre-deployment	Immediate action; logs event metadata
Misuse Signal Generation	Generates alerts to rights-holders, performer agencies, and platforms if content exceeds thresholds	Pre- or post-deployment	Works for both visual and audio outputs
Automatic Licensing Flags	Marks outputs that require licensing agreements before deployment	Pre-deployment	Integrated with Content ID and performer rights registry
Post-Deployment Detection	Platforms run periodic or request-based similarity checks for content already online	Post-deployment	Triggered by rights-holder registration, complaint, or compliance audit
Content Transformation Monitoring	Tracks if AI output modifies protected content (voice or visual)	Pre- and post-deployment	Alerts rights-holders if derivative work is outside allowed scope

2. Obligatory Metadata Collection

For treacebillity Platforms and AI deployers must attach mandatory metadata for each deployment:

Metadata Field	Purpose / Use	Enforcement
AI System / ID	Identify the deployer system for accountability	Required for BGTF trace logs
User / Creator ID	Identify the user / deployer for accountability	Required for BGTF trace logs
Output Type	Visual, audio, mixed	Helps BGTF select correct biometric threshold checks
Biometric Types Used	Facial image, voice, DOB, age, legal ID	Enables accurate BGTF evaluation
Intended Use / Scope	Commercial, research, entertainment	Checked against authorization records
Consent Record Reference	Link to explicit user / performer authorization	BGTF validates against consent database
Rights Holder / Agency ID	Performer rights management	For post-deployment misuse signals
Content ID / Work Reference	For music, audiobooks, voice recordings	Enables Content ID / copyright society tracking
Timestamp of Deployment	Event traceability	BGTF audit and regulatory reporting
Jurisdiction / Platform	Determines legal framework	Ensures EU law compliance
Transformation / Derivative Info	Notes if AI modifies content	Helps track derivative works and licensing needs

Consent, Notification, and Rights Control

BGTF should incorporate an opt-in notification and consent control mechanism, allowing:

• Citizens

• Minor guardians (parents or legal representatives)

• Performer rights agencies

• Estates

to define the permissible scope of AI use of their biometric likeness.

Scenario	Notification Sent To	Response
Adult citizen opted for approval	Citizen	Approve / Deny
Minor detected	Guardian	Automatic block or approval request
Performer content detected	Rights agency	Licensing / attribution decision
Posthumous use	Estate	Authorization decision

Consent options should include:

• Automatic blocking

• Licensing-only use

• Case-by-case authorization

• Scope, duration, platform, or use-case limitations

Threshold Decisions & Enforcement Signals

Based on threshold evaluation results and registered consent rules, BGTF should output one of three determinations:

1. Allow - use permitted within defined scope

2. Block -use prohibited

3. Misuse Signal - unauthorized or infringing use detected

Misuse signals should trigger automated notifications to:

• Relevant rights-holders 

• Platforms

• Competent authorities

Enabling:

• Licensing 

• Negotiation

• Attribution enforcement

• Takedown actions

• Legal remedies under applicable private and public law

Opt-In Participant	Who Registers	Notification Scope	Consent / Action Options	BGTF Enforcement Outcome
Citizen (Adult)	Individual citizen	AI content using facial or voice likeness	• Auto-block all use • Require explicit approval before deployment • Allow only licensed / commercial use • Allow only non-commercial use	Allow / Block / Request Approval / Log
Minor Guardian (Parent / Legal Guardian)	Parent or legal guardian	Any AI content involving minor’s likeness	• Automatic prohibition • Case-by-case approval only • Full block	Automatic Block / Approval Request
Performer Rights Agency	Performer or agency	Commercial and artistic AI use of performer voice / image	• Require agency authorization • Allow licensed use only • Allow attribution-only use	Allow / Block / Signal Licensing
Estate / Posthumous Rights Holder	Estate or legal representative	AI use of deceased person’s likeness	• Full block • License-only use • Approval per project	Allow / Block / Request Authorization

Opt-In Cross-Recognition & Jurisdictional Interoperability

BGTF should support opt-in cross-recognition of biometric thresholds, allowing individuals or rights-holders to voluntarily authorize recognition of their biometric thresholds outside their primary jurisdiction.

Key principles:

• Jurisdictional sovereignty by default,

• Explicit, revocable consent via eID / e-signature,

• Configurable scope (full, conditional, platform-specific, or use-case-specific).

• Registry Coordination (Threshold Metadata Only)

BGTF may be supported by a centralized or federated registry, which should store only threshold metadata, never raw biometric data.

The registry should include:

• Verified identity references

• Threshold status (active / revoked / expired)

• Jurisdictional scope

• Expiration and renewal timestamps

• Opt-in cross-recognition flags.

This registry functions as a coordination and verification layer, not a biometric database.

Fractal System Design

BGTF should follow a fractal system design, applying the same biometric threshold logic consistently across all governance layers, including:

• Platforms,

• National authorities,

• Regional frameworks (e.g. EU),

• Global coordination layers

While authority and scope differ by layer, the threshold logic remains structurally identical, ensuring:

• Governance consistency,

• Scalability,

• Legal subsidiarity,

• Controlled threshold crossings as governance “singularity points.”

Foundational Principle

BGTF should ensure traceable accountability for AI biometric use while explicitly avoiding continuous monitoring of users or audiences, thereby balancing innovation, fundamental rights, and lawful AI deployment within the European legal framework.

BGTF does not currently exist as a deployed government system; it defines how such a system should operate as part of responsible AI governance.

SUGESTED: Mandatory Implementation Rules for AI Deployment & Platforms

Component	Mandatory Feature	Who Operates / Registers	Linked To	Enforcement / Use
Content ID	Mandatory for all audio & audiovisual distributors	Platform / Distributor	Performer Alias, Composer Alias	Tracks ownership, transformations, licensing, and blocks unauthorized use
Performer Rights Agency	Voice biometric registration	Performer / Agency	Government ID → Performer Alias	Registers voice, links legal ID to stage name; sends registration to government database for BGTF
Copyright Society	Composer / Author Alias registration	Composer / Society	Government ID → Composer Alias	Embedded in Content ID; tracks composition ownership, royalties, licensing
Government Biometric Threshold Filter (BGTF)	Pre- & Post-deployment evaluation	Government interface	Links biometric hash → Legal ID → Performer/Composer Alias	Checks thresholds; generates allow, block, or misuse signals; logs metadata
AI Deployer / Platform	Mandatory metadata collection	AI Creator / Platform	Linked to all registered IDs	Sends metadata to BGTF; triggers evaluation; logs deployment and enforcement events

SUGESTED: Linking IDs, Aliases, and BGTF Enforcement

Step	Action	Responsible Party	Linked IDs / Metadata	Outcome / Purpose
1. Performer Registration	Registers voice biometric and stage name	Performer / Rights Agency	Performer Alias → Government ID	Enables BGTF to link AI output to performer for threshold checks and misuse signals
2. Composer Registration	Registers composer alias	Composer / Copyright Society	Composer Alias → Government ID	Enables BGTF and Content ID to track authorship and licensing
3. Link to Government ID	Maps performer/composer aliases to legal ID	Government Database / BGTF	Government ID ↔ Performer Alias / Composer Alias	Traceable accountability for biometric and content rights verification
4. Content ID Embedding	Embed Performer Alias + Composer Alias + Work Reference in distributed content	Distributor / Platform	Performer Alias, Composer Alias, Work Reference	Automatic rights detection and enforcement across platforms
5. BGTF Pre-Deployment Check	Evaluate AI output for biometric likeness and alias match	BGTF (Government Interface)	Biometric Hash ↔ Performer/Composer Alias	Decide: Allow / Block / Flag before deployment
6. BGTF Post-Deployment Check	Platforms scan deployed content for matches with registered biometrics / Content ID	Platform + BGTF	Biometric Hash + Content ID ↔ Performer/Composer Alias	Generate misuse signals; notify rights-holder / agency; log event
7. Mandatory Metadata Collection	Attach required metadata to every AI output	AI Deployer / Platform	AI output type, biometric used, performer/composer aliases, work reference, intended use, timestamp, platform, jurisdiction	Ensures traceability, accountability, and automatic enforcement

Biometric Government Threshold Filter (BGTF) SUMARY:

WORKFLOW --> PRE AND POST DEPLOYMENT

PRE DEPLOYMENT

1. AI Output

2. Attach Metadata

3. BGTF Evaluation

4. Threshold Check

5. Allow / Block / Flag

6. Log Event

7. Rights-holder Alert (if flagged)

POST DEPLOYMENT

1. Deployed Content

2. Periodic or Complaint-Triggered BGTF Scan

3. Threshold Check

4. Misuse Signal

5. Notify Rights-holder / Agency

6. Action (license / takedown / block)

7. Log Event

Key steps to implement the BGTF

( What shoud be done)

Integrate BGTF at Deployment Gate:

• Platforms cannot allow AI outputs to go live without biometric threshold evaluation.

Collect and Store Only Metadata:

• BGTF must not retain raw biometric data or AI outputs.

• Only threshold metadata and compliance logs are stored.

• Platforms retain logs for legal and regulatory compliance.

Respond to Misuse Signals:

Platforms must forward misuse alerts to:

• Performer rights agencies

• Rights-holders

• Competent authorities (where applicable)

Actions follow private and public law mechanisms:

• Licensing negotiation

• Takedown

• Blocking

Support Content ID Integration:

Music, audiobooks, voice-based, and video content must be matched against:

• Content ID systems

• Performer rights databases

• Copyright and IP registries

Audit Logs:

Maintain verifiable logs covering:

• Deployment decisions

• Threshold evaluations

• Misuse signals

• Enforcement actions

Logs must be available for government and regulatory review.

Why Implementing the Biometric Government Threshold Filter (BGTF) Is a Necessary Feature for Deploying AI Content?

As AI systems increasingly generate, modify, and distribute visual and audio content at scale, traditional Retroactive enforcement mechanisms are no longer sufficient to protect biometric identity, performer rights, and legal accountability.

The Biometric Government Threshold Filter (BGTF) is a necessary governance feature because it enables automated enforcement at scale while preserving human accountability, legal due process, and fundamental rights.

BGTF introduces threshold-based control, rather than continuous surveillance or blanket prohibition, allowing AI deployment to remain lawful, scalable, and rights-respecting.

BGTF is:

Automated but Accountable:

• BGTF performs automated threshold checking, but all alerts are routed to rights-holders.

• Governments do not directly remove content.

  
  

Metadata-Driven:

• All decisions are traceable through mandatory, verifiable metadata.

Privacy Preserving:

• Only hashed or similarity-based vectors are used.

• No raw biometric data is stored.

Multi-Channel Enforcement:

Integrated across:

• Visual content

• Audio and voice

• Content ID systems

• Performer rights organizations

• Copyright and IP agencies

“The Biometric Government Threshold Filter (BGTF) should be implemented to address recognized classes of governance risk associated with biometric AI deployment, without exposing operational attack pathways.”

Risk Class	Governance Risk	BGTF Control
Biometric similarity evasion	Unauthorized deployment of protected biometric likenesses	Multi‑vector biometric thresholding
Synthetic identity misuse	Non‑consensual replication of human biometric traits	Presentation Attack Detection (PAD) combined with consent gating
Metadata falsification	False or fraudulent authorization signals	Cryptographically signed, government‑issued identity and consent credentials
Offshore deployment	Circumvention of national or regional jurisdictional protections	Reciprocal biometric threshold enforcement across jurisdictions
Automation opacity	Loss of legal accountability due to automated or distributed systems	Mandatory human responsibility anchoring at deployment level