IN3AV10-C – Certified AI in Smart Glide Bombs & Autonomous Payload Delivery

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Certificate Code: IN3AV10-C
Category Tags: Precision Strike Systems, Autonomous Payloads, Kinetic Delivery AI
Associated License: IN3AV-L – AI Deployment License for Aerospace, Aviation & Aerial Systems
Enforcement Level: Extreme – Tactical Strike Autonomy, Urban Targeting Risk, International Warfare Law

Overview

This certification governs AI systems used in the guidance, target recognition, and adaptive flight control of smart glide bombs and other autonomous aerial payloads. These systems enable kinetic strike delivery from stand-off distances with precision adjustments mid-flight, requiring robust control, ethical oversight, and targeting validation.

Certified systems may be deployed for:

  • Terrain-hugging, low-visibility strike approaches using dynamic AI navigation
  • Autonomous glide-to-target after release from aircraft or drones
  • Real-time re-targeting or strike cancellation based on environmental or battlefield conditions
  • Integration with tactical strike platforms (manned or unmanned) for precision payload delivery
  • AI-assisted deconfliction with civilian zones, infrastructure, and allied forces

Key Focus Areas

  • AI-guided navigation under GPS-denied or jammed environments
  • Object recognition, landmark registration, and adaptive flight vectoring
  • Mid-air decision-making: abort, reroute, or reclassify targets
  • Strike accuracy enhancement via real-time wind, terrain, or visual conditions
  • Civilian risk modeling and proportionality scoring under Geneva-compliant parameters

Standards Addressed

Documentation of:

  • Kill-switch logic, target update protocol, and strike cancellation thresholds
  • AI vision and sensor fusion training sources and simulation environments
  • Compatibility with ISR (Intelligence, Surveillance, Reconnaissance) and JTAC (Joint Terminal Attack Controller) inputs
  • Failsafe mechanisms for off-course payloads or target de-qualification

Compliance with:

  • IRBAI Precision Kinetics Control Standard (PKCS)
  • Geneva Conventions Protocol I – Proportionality, distinction, and precaution in attacks
  • MIL-STD-1760 – Store management data bus compatibility
  • NATO Allied Tactical Publication ATP-3.3.4.1 – Air-to-surface strike operations
  • ISO 9001 (modular) – System traceability, test records, and software auditability

Prohibited Practices

  • AI-based autonomous targeting without pre-authorized strike profiles
  • Strikes in urban or protected areas without civilian avoidance confirmation
  • Use of social or behavioral data for strike targeting
  • Lethal deployment triggered by inferred motion, heat, or signal patterns without visual confirmation
  • Operation without fallback to human command in case of system degradation

Certification Benefits

  • Required for deployment of AI-guided or AI-assisted glide bomb and precision kinetic payload systems
  • Ensures ethical, legal, and technically sound deployment of smart strike munitions
  • Recognized by defense air command structures, aerial weapon ethics boards, and AI audit coalitions
  • Enables advanced warfighting capabilities without sacrificing human rights and civilian protections

Certification Duration

Valid for 12 months, with reevaluation required upon:

  • Change to guidance AI, payload lethality, or new platform integration
  • Use in cross-border operations or near-civilian population centers
  • Loss of strike confirmation logs or evidence of disproportionate engagement
  • Deployment by proxy or allied forces without direct oversight

Licensing & Certification Process

Phase 1: Define Scope of AI Usage
Organizations must first define the full operational scope of the AI systems being deployed. This includes:
  • Whether the AI operates in a supportive, autonomous, or critical decision-making role
  • Identification of AI functions (e.g., modeling, prediction, control, optimization)
  • Whether human oversight is present during AI decision-making

Phase 2: AI Risk Assessment & Gap Analysis
Organizations must conduct a comprehensive analysis to evaluate AI systems against IRBAI risk classifications:
  • Risk Level Assessment: Classify AI as Minimal, High-Risk, or Prohibited based on function and potential impact
  • Gap Analysis: Compare existing systems against IRBAI standards for:
    • Safety thresholds
    • Ethical guardrails
    • Explainability and auditability
    • Human-in-the-loop (HITL) mechanisms
  • Identify vulnerabilities in safety, legal compliance, or operational transparency

Phase 3: Implementation of Controls
Based on the findings in Phase 2, organizations must implement technical and operational safeguards, such as:
  • AI safety constraints (e.g., output limitations, kill switches, anomaly detection)
  • Bias and fairness filters
  • Toxicity, biohazard, or financial manipulation detection protocols (sector-specific)
  • Explainability dashboards or model cards
  • Audit logs for AI decision chains and training datasets

Phase 4: Compliance Documentation Submission
Organizations are required to submit detailed documentation to IRBAI for review, including:
  • AI Risk Assessment Report (based on IRBAI format)
  • Control & Safeguard Implementation Plan
  • Audit Trail Templates for future reporting
  • Domain-specific documents (e.g., dual-use mitigation, medical safety plans, financial compliance matrices)
  • Signed declaration of responsible AI use and ethical alignment

Phase 5: External Evaluation & Audit by IRBAI
  • Review documentation for accuracy and completeness
  • Conduct interviews with AI developers, compliance officers, and executives
  • Evaluate deployed AI models (live or sandboxed) for compliance
  • Test key scenarios (e.g., edge-case behaviors, failure conditions, ethical outcomes)

Phase 6: Licensing and Certification
Depending on the scope and risk level:
  • Licensing is issued for high-risk AI deployments
  • Certification is granted for individual AI models or systems deemed compliant with safety and ethics protocols

Penalty Framework for Non-Compliance

Tier 1 Violation – High-Risk Breach
Examples:
  • Deployment of prohibited AI (e.g. autonomous weapons, synthetic pathogen creators)
  • Repeated or deliberate non-compliance
  • Obstruction of IRBAI audits or falsification of risk reports
Penalties:
  • Immediate suspension of AI operations and R&D
  • Global blacklisting from IRBAI-compliant AI markets
  • Multi-national export and trade restrictions on AI technologies
  • Financial penalties up to 5% of global revenue
  • Referral to international legal bodies
  • Permanent revocation of IRBAI licenses and certifications

Tier 2 Violation – Compliance Failure
Examples:
  • Unauthorized deployment of high-risk AI models without license
  • Failure to submit audits or compliance reports
  • Violation of dual-use restrictions or safety thresholds
Penalties:
  • Probationary licensing status with stricter oversight
  • Temporary suspension of AI deployment or access to IRBAI infrastructure
  • Monetary fines up to 3% of operational AI budget
  • Mandatory IRBAI-led investigation and re-audit
  • Export restrictions for 12–24 months

Tier 3 Violation – Administrative Lapse
Examples:
  • Delayed documentation or audit submissions
  • Unintentional reporting errors
  • Minor control gaps not resulting in harm
Penalties:
  • Mandatory staff retraining
  • Formal warning and corrective action deadline
  • Fines up to 0.5% of AI-related project budget
  • Increased audit frequency
  • Temporary restrictions on AI feature rollouts

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IN3AV10-C – Certified AI in Smart Glide Bombs & Autonomous Payload Delivery

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