CISP – Certified AI Safety Professional
CISP (Certified AI Safety Professional) is a GSAC-aligned certification designed to help HSE, OHS, and safety leaders understand, govern, and apply Artificial Intelligence technologies safely, ethically, and effectively within workplace safety systems.
About The Program
AI Safety, Governance & Risk Certification for HSE / OHS Professionals
Built for HSE / OHS Professionals
CISP is not a technical AI course.
It is designed for safety professionals who need to understand, govern, and
apply AI responsibly without becoming data scientists.
GSAC-Aligned AI Ethics & Governance
Learn how to:
- Control AI bias
- Maintain transparency and explainability
- Ensure human oversight
- Protect safety data and privacy
Who Should Take the CISP Certification?
This AI safety certification is ideal for:
- HSE / OHS professionals
• Safety engineers & coordinators
• Risk & compliance managers
• ISO 45001 auditors
• Supervisors & operations leaders
• Digital transformation & EHS teams
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Why AI Safety is the new way
CISP is a professional certification that teaches safety professionals how to use AI as a safety tool not a safety risk.
Delivered by the Global Safety AI Council (GSAC), CISP sets a baseline standard for AI safety competence in modern organizations.
Program Structure
Course Structure
| Learning | Goals |
|---|---|
Module 1 — AI in HSE & GSAC Ethics | Safety 4.0, automation vs AI, ethical and transparent AI use in safety systems. |
Module 2 — Safety Data Foundations | Sensors, CCTV, wearables, data quality, bias control, privacy, and digital evidence. |
Module 3 — AI Tools for Safety | NLP for safety reports, computer vision, predictive analytics, and machine learning models. |
Module 4 — AI-Enhanced Risk Assessment | AI hazard detection, risk patterns, forecasting, and dynamic risk matrices. |
Module 5 — AI-Supported Incident Investigation | Evidence classification, LLM analysis, causal mapping, GSAC validation principles. |
Module 6 — Behavioural Safety & Human Factors | Unsafe behaviour detection, fatigue monitoring, predictive behaviour analytics. |
Module 7 — Applied AI for Occupational Health | Ergonomics, heat stress, air monitoring, wearables, exposure prediction. |
Module 8 — AI-Driven Safety Dashboards | AI KPIs, anomaly detection, digital twins, AI-supported audits. |
Module 9 — Implementing AI in ISO 45001 | AI governance, bias control, deployment planning, leadership communication. |
Module 10 — Capstone Project | Choose one: |
Student Testimonials
Using AI for the job is incredibly faster and reliable. Thanks for making our job easier and efficient.
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