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@csgaglobal/biometrics-ai

v1.0.0

Published

CSOAI Biometrics & Identity AI Governance — facial recognition, emotion detection, EU AI Act prohibited/high-risk biometric AI, and BIPA compliance

Readme

@csoai/biometrics-ai — Biometrics & Identity AI Governance MCP Server

Complete Model Context Protocol server for biometric AI risk assessment, EU AI Act compliance, bias detection, and BIPA litigation risk analysis.

Features

  • EU AI Act Compliance: Detects prohibited uses (emotion recognition in workplace/education, real-time facial ID in public spaces, social scoring)
  • Bias Risk Assessment: Documents demographic disparities in facial recognition accuracy (NIST FRVT studies), age estimation bias, lighting sensitivity, representation bias
  • BIPA Litigation Risk: Illinois Biometric Information Privacy Act private right of action assessment, per-scan violation accrual, class action exposure
  • GDPR Compliance: Special category data requirements, Data Protection Impact Assessment mandates, consent standards
  • Technical Requirements: ISO/IEC biometric standards, liveness detection, anti-spoofing, template protection
  • Regulatory Coverage: EU AI Act, GDPR, Illinois BIPA, Texas CUBI, Washington state laws, CCPA/CPRA

Tools

biometric_risk_assessment

Assess EU AI Act classification, prohibited use check, bias risks, privacy requirements, and remediation for biometric AI systems.

Input Parameters:

  • system_name — Name of the biometric AI system
  • biometric_type — Type of biometric (facial recognition, fingerprint, voice, iris, gait, emotion detection)
  • use_case — Use case (identification, verification, categorization, emotion recognition, social scoring)
  • jurisdiction — Operating jurisdiction (EU, US, UK, Illinois, etc.)
  • deployment_context — Deployment context (public spaces, workplace, education, law enforcement, border control)

Output:

  • EU AI Act classification (PROHIBITED, HIGH RISK, or compliant assessment)
  • Prohibited use check with exceptions
  • Applicable regulations by jurisdiction
  • Demographic bias risks
  • Privacy requirements (GDPR Article 9, consent, DPIA)
  • Technical requirements (FAR/FRR testing, ISO standards, liveness detection)
  • Remediation roadmap
  • CASA (Continuous AI Safety Audit) tier and costs

bipa_compliance

Illinois BIPA compliance assessment covering consent requirements, data handling, litigation risks, and penalty exposure.

Input Parameters:

  • system_name — Name of the biometric system
  • biometric_type — Type of biometric identifier collected
  • collection_method — How biometric data is collected (camera, sensor, upload, etc.)
  • operating_states — US states where system operates (e.g., 'Illinois, California' or 'all states')

Output:

  • BIPA applicability determination
  • Written consent requirements
  • Data handling and retention rules
  • Litigation risks (private right of action, class action exposure, per-scan accrual)
  • Penalty exposure ($1K-$5K per violation, recent settlements $39M-$650M)
  • Remediation steps (policies, consent forms, encryption, audit trails)

Resources

  • biometrics://regulations/index — Regulatory landscape (EU AI Act, US state laws, international frameworks)
  • biometrics://tools/guide — Tool documentation

Installation

npm install
npm run build
npm start

Regulatory Framework

Prohibited Uses (EU AI Act Article 5)

  • Emotion recognition in workplace/education (Article 5(1)(f))
  • Biometric categorization inferring race, political beliefs, sexual orientation (Article 5(1)(g))
  • Real-time remote biometric identification in public spaces (Article 5(1)(h)) — limited exceptions for missing children, terrorism prevention, serious crimes

High-Risk Biometric AI (EU AI Act Annex III)

  • Remote biometric identification systems
  • Post-remote biometric identification

US State Laws

  • Illinois BIPA (740 ILCS 14): $1,000-$5,000 per violation, per-scan accrual, private right of action
  • Texas CUBI (Tex. Bus. & Com. Code § 503.001): $25,000 per violation
  • Washington State (RCW 19.375): Biometric identifier protection
  • NYC Local Law 144: Automated employment decision tools
  • CCPA/CPRA: Biometric information as sensitive personal information

Key Statistics

  • NIST FRVT Studies: Facial recognition error rates 10-100x higher for darker-skinned individuals
  • Meta/Facebook Settlement: $650M BIPA class action (2021)
  • TikTok Settlement: $228M BIPA class action (2023)
  • Clearview AI Settlement: $39M consent + BIPA violations (2022)
  • Per-Scan Accrual: Cothron v. White Castle (2023) — each facial scan = separate BIPA violation

Author

CSOAI — Council for the Safety of Artificial Intelligence

License

CC0-1.0 (Public Domain)