Certified Fire AI Policy & Compliance Officer (CFAIPCO)

Certified Fire AI Policy & Compliance Officer (CFAIPCO) by Tonex

This intensive two day program equips fire and emergency services leaders to govern AI responsibly across policy, operations, and procurement. Participants learn how to align AI tools with NFPA, FEMA, OSHA, and ISO requirements while balancing effectiveness, ethics, and public trust. The course emphasizes data governance, model accountability, and transparent decision support so frontline teams can rely on evidence based outcomes.

Strong focus is placed on cybersecurity risk across the AI lifecycle to protect incident data, sensor streams, and agency systems from compromise. You will practice drafting enforceable policies, audit checklists, and leadership briefings that withstand legal and community scrutiny. Graduates return ready to implement governance frameworks, monitor compliance, and steer safe innovation that strengthens mission readiness and community resilience.

Learning Objectives

• Map AI use cases to NFPA, FEMA, OSHA, and ISO requirements
• Build data governance and documentation practices for audits
• Design accountability controls and measurable transparency standards
• Identify and mitigate bias and safety risks in AI workflows
• Implement oversight dashboards and review boards for AI decisions
• Strengthen cybersecurity controls across data, models, and integrations
• Draft a department wide AI ethics and governance policy

Audience

• Fire and Emergency Services Leaders
• Public Safety Administrators and Planners
• Compliance and Risk Officers
• Data and AI Program Managers
• IT and Operations Managers
• Cybersecurity Professionals
• City and County Policy Advisors

Course Modules

Module 1: Regulatory Alignment for AI

• NFPA relevant clauses mapping
• FEMA grant and policy tie ins
• OSHA operational safety integration
• ISO 42001 AI management overview
• Records retention and eDiscovery
• Procurement requirements and attestations

Module 2: Data Governance Foundations

• Data inventory and lineage
• Consent, purpose, and minimization
• Data quality and integrity checks
• Access control and least privilege
• Retention and deletion schedules
• Third party data processing terms

Module 3: Algorithmic Accountability Controls

• Model cards and decision logs
• Human in the loop thresholds
• Performance metrics and drift monitoring
• Explainability for operational users
• Change control and versioning gates
• Incident and exception handling

Module 4: Bias, Fairness, and Safety

• Bias sources and mitigation tactics
• Representative data collection plans
• Fairness metrics selection guidance
• Safety cases and risk registers
• Red team style scenario reviews
• Public communication and transparency

Module 5: Cybersecurity for AI Systems

• Threat modeling for AI pipelines
• Secure data and model storage
• API hardening and credential hygiene
• Supply chain and dependency risks
• Monitoring, logging, and alerting
• Continuity and recovery playbooks

Module 6: Policy, Audits, and Dashboards

• Policy structure and approval path
• Audit checklist and evidence mapping
• KPI design for compliance health
• Board and council reporting packs
• Vendor accountability scorecards
• Roadmap to continuous improvement

Exam Domains

1. Public Safety AI Governance Frameworks
2. Regulatory and Standards Compliance Management
3. Data Stewardship and Documentation Practices
4. Algorithmic Risk, Fairness, and Assurance
5. Cybersecurity and Resilience for AI Systems
6. Audit Readiness and Performance Oversight

Course Delivery
The course is delivered through a combination of lectures, interactive discussions, hands on workshops, and project based learning, facilitated by experts in the field of Certified Fire AI Policy & Compliance Officer. Participants will have access to online resources, including readings, case studies, and tools for practical exercises.

Assessment and Certification
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Certified Fire AI Policy & Compliance Officer.

Question Types

• Multiple Choice Questions (MCQs)
• Scenario based Questions
• True or False
• Short Answer
• Matching

Passing Criteria
To pass the Certified Fire AI Policy & Compliance Officer Certification Training exam, candidates must achieve a score of 70% or higher.

Ready to lead safe, compliant AI in public safety Join Tonex to secure your seat and bring back a department ready AI ethics and governance policy, audit toolkit, and implementation roadmap.