Certified Human Control of Military AI Systems (CHC-MAIS)

Certified Human Control of Military AI Systems (CHC-MAIS) Certification Program by Tonex

Certified Human Control of Military AI Systems (CHC-MAIS) is a rigorous program on meaningful human control across defense sensing, targeting, and autonomous effects. It equips leaders to keep humans accountable for intent, authorization, and consequence. The curriculum blends doctrine, ethics, law, systems engineering, and operations.

Participants translate policy into verifiable technical requirements. They design interfaces, thresholds, and overrides that preserve judgment under pressure. They implement review and audit trails that stand up to scrutiny. The program stresses reliable command authority, traceable decisions, and fail-safe behaviors.

It addresses contested signals, spoofing, adversarial AI, and degraded networks. It also covers data governance and bias controls for compliant targeting. Cybersecurity is central. You will secure command links, identities, and update pipelines. You will harden models and sensors against tampering and evasion. You will deploy continuous monitoring for assurance and incident response.

The result is responsible capability that works with allies and meets international obligations. Graduates leave with practical checklists, templates, and metrics. They can brief risk clearly and implement safeguards quickly. The mission is simple. Keep control human. Keep outcomes lawful, precise, and accountable.

Learning Objectives:

• Define standards for meaningful human control in defense contexts
• Map legal and policy constraints to technical requirements
• Design authority, override, and abort mechanisms
• Set targeting thresholds and human review gates
• Build explainability, logging, and evidence chains
• Implement zero-trust cybersecurity for AI-enabled operations
• Apply assurance and testing strategies across the lifecycle
• Establish metrics, audits, and continuous improvement

Audience:

• Cybersecurity Professionals
• Program and Project Managers
• AI engineers and system architects
• Test and evaluation specialists
• Military operators and mission planners
• Policy advisers and legal counsel
• Safety and compliance officers
• Procurement and acquisition leaders

Course Modules:

Module 1: Foundations of Meaningful Human Control

• Definitions and core principles
• IHL/LOAC and national policy constraints
• Roles, responsibilities, and accountability
• Human-in/on/out-of-the-loop models and limits
• Decision authority, consent, and traceability
• Risk taxonomy and harm assessment methods

Module 2: Governance and Policy to Requirements

• Rules of engagement translated to requirements
• Delegation, escalation, and veto design
• Thresholds, checklists, and authorization workflows
• Documentation, model cards, and evidence packs
• Independent review and oversight structures
• Coalition and interoperability considerations

Module 3: Human-Centered Systems Engineering

• Interfaces and alerting for time-critical control
• Confidence, uncertainty, and rationale displays
• Override, pause, and abort mechanisms
• Fail-safe behaviors and graceful degradation
• Verification and validation strategies
• Trace logging and post-action reconstruction

Module 4: Cybersecurity and Assurance for AI in Combat

• Secure command and control pathways
• Identity, authentication, and least privilege
• Supply chain integrity and update hardening
• Resilience to spoofing and adversarial tactics
• Monitoring, detections, and incident response
• Zero-trust alignment and compliance

Module 5: Targeting, Surveillance, and Effects Controls

• Positive identification and confidence thresholds
• Geofencing, protected sites, and no-strike lists
• Collateral damage estimation with human review
• Sensor fusion uncertainties and bias controls
• Escalation management and bounds on pursuit
• Abort, handoff, and recovery criteria

Module 6: Operations, Evaluation, and Accreditation

• Pre-mission readiness checklists
• Operator training and certification standards
• Briefings and decision practice protocols
• KPIs and human performance metrics
• After-action review and lessons capture
• ATO, version control, and change management

Exam Domains:

1. Ethical and Legal Control Doctrine
2. Human–AI Decision Authority and Accountability
3. Secure Command and Control for AI-Enabled Operations
4. Targeting Compliance and Civilian Harm Mitigation
5. Verification, Validation, and Auditability
6. Governance, Risk, and Compliance in Defense AI

Course Delivery:
The course is delivered through expert lectures, interactive discussions, case analyses, and guided policy drafting. Participants access curated readings, real-world case studies, and practical templates for immediate use.

Assessment and Certification:
Assessment includes quizzes, short written assignments, and a capstone policy brief. Upon successful completion, participants receive the CHC-MAIS certificate from Tonex.

Question Types:

• Multiple Choice Questions (MCQs)
• Scenario-based Questions

Passing Criteria:
To pass the CHC-MAIS Certification Training exam, candidates must achieve a score of 70% or higher.

Safeguard mission outcomes while preserving human judgment. Enroll in CHC-MAIS to lead responsible, secure, and compliant military AI programs. Drive accountability from policy to deployment.