Certified Human-in-the-Loop AI Specialist (CHILAS)

Certified Human-in-the-Loop AI Specialist (CHILAS) Certification Program by Tonex

CHILAS prepares professionals to design, govern, and operate AI systems that keep humans in control. It focuses on high-stakes settings: medical diagnosis, defense targeting, aviation, and finance. The program builds reliable human–AI teaming, robust override mechanisms, and clear escalation paths. You learn to anticipate errors, recover rapidly, and document decisions. Compliance, safety, and ethics are embedded at every step.

Cybersecurity is central. Participants learn to harden decision pipelines, protect prompts and models, and defend human override channels from tampering. You assess adversarial risks, model drift, data leakage, and insider misuse. You align controls with standards and mission needs.

The curriculum is practical and rigorous. You will map workflows, define roles, and test handoffs with checklists and red-team style reviews. Tooling is secondary to judgment. Evidence, traceability, and accountability lead. The program finishes with an applied design artifact you can use at work.

Graduates can integrate AI without surrendering authority. They can argue risk, calibrate trust, and craft escalation and fail-safe plans. They can translate between domain experts, engineers, and leadership. The result is safer operations, faster recovery, and clearer governance across regulated environments. You leave with repeatable playbooks, vetted checklists, and decision logs tailored to your sector and regulatory contexts.

Learning Objectives:

• Keep humans in decisive control of AI-enabled workflows
• Design override, escalation, and fail-safe patterns
• Calibrate trust and communicate uncertainty clearly
• Build auditable decision trails and safety cases
• Detect, contain, and recover from AI-assisted errors
• Harden systems against cyber and insider threats
• Align solutions with sector regulations and standards
• Present risk and assurance effectively to leadership

Audience:

• Cybersecurity Professionals
• Safety and compliance leaders
• Clinical, aviation, defense, and finance practitioners
• Product and program managers
• Data and AI engineers
• Risk, audit, and governance officers
• Operations and incident response leads

Program Modules:
Module 1: Human–AI Teaming Foundations

• Roles and RACI across humans and AI
• Trust calibration using confidence and uncertainty
• Handoff protocols and closed-loop feedback
• Decision envelopes and guardrails
• Bias awareness and mitigation in recommendations
• Sector patterns for clinics, flight decks, ops centers

Module 2: Override and Fail-Safe Control

• Authority models and kill-switch design
• Human-in-the-loop latency budgets
• Graceful degradation and fallback modes
• Dual-control and four-eyes patterns
• Logging, attestation, and tamper-evidence
• Resilience reviews and fault-injection strategies

Module 3: Ethical Escalation and Governance

• Escalation ladders and thresholds
• Duty of care and harm minimization
• Consent, transparency, and explainability
• Recusal rules and conflict management
• Documentation and safety case structure
• Review boards, sign-offs, and accountability

Module 4: Error Detection and Recovery

• Early warning indicators and anomaly flags
• Playbooks for rollback and containment
• Root-cause triage and learning reviews
• Model drift and data quality controls
• Human error traps and checklist design
• Recovery time metrics and residual risk

Module 5: Security for Human-Controlled AI

• Threat modeling of decision pipelines
• Protecting prompts, data, and models
• Securing override channels and HMI
• Adversarial input and jailbreak defenses
• Least privilege, MFA, and break-glass
• Monitoring, audit trails, and forensics

Module 6: Compliance and Sector Integration

• Mapping to healthcare, aviation, defense, finance
• Regulatory alignment and audit readiness
• Links to safety and quality systems
• Vendor, tool, and model due diligence
• Cross-functional training and runbooks
• KPIs, verification, and continuous improvement

Exam Domains:

1. Oversight Governance and Accountability
2. Trust, Uncertainty, and Human Decision Psychology
3. Safety Cases and Assurance Evidence
4. Adversarial Risk and Model Resilience
5. Operational Escalation and Incident Response
6. Regulatory Compliance and Audit Readiness

Course Delivery:
The course is delivered through lectures, interactive discussions, guided case reviews, and project-based learning led by Tonex experts. Participants gain access to online resources, readings, case studies, and templates for practical exercises.

Assessment and Certification:
Participants are assessed through quizzes, assignments, and a capstone project. Upon successful completion, participants receive the Certified Human-in-the-Loop AI Specialist (CHILAS) certificate.

Question Types:

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

Passing Criteria:
To pass the Certified Human-in-the-Loop AI Specialist (CHILAS) exam, candidates must achieve a score of 70% or higher.

Keep humans in charge of AI. Earn the CHILAS credential with Tonex. Enroll now to secure safer, accountable AI in your mission-critical workflows.