Chartered AI Governance & Automation Strategist in Oil & Gas (C-AIGAS)® - International Board of Oil & Gas Professionals

• Govern AI systems ethically and transparently • Design automation workflows that align with human-in-the-loop principles • Deploy and maintain ML models that improve field decision-making • Integrate intelligent systems across the digital oilfield

• AI governance models and ethical deployment frameworks • ML model training, drift monitoring, and bias mitigation in oilfield data • Automation pipelines for seismic analysis, rig performance, and field logistics • Intelligent agent systems for remote operations, alerts, and workflows • AI regulatory compliance (OECD, ISO/IEC 42001, NIST AI RMF) • Organizational AI readiness and cross-functional integration

• Understand the principles of trustworthy and explainable AI in oil & gas • Design automated workflows using AI/ML tools across Exploration and logistics • Align AI implementation with regulatory, safety, and ethical frameworks • Evaluate AI vendor solutions and automation platforms for compliance and scalability • Lead cross-disciplinary teams on responsible AI strategy and execution • Apply risk assessments, model documentation, and impact evaluations

• Earn the CAIGAS® designation and demonstrate elite capability in AI governance. • Position yourself as a strategic leader in digital energy transformation • Ensure AI systems are safe, scalable, and ethically deployed • Advance in roles related to automation strategy, AI ethics, and regulatory oversight • Access global networks, research, and career opportunities through IBOGP® • Receive a digital badge and be listed in the Certified Global Registry

• Official C-AIGAS® Training Modules (online and in-person options) • Case studies on AI incidents, regulatory breaches, and system design • Toolkits for risk analysis, impact scoring, and governance documentation • Practice exams and governance scenario-based exercises

• Format: Online proctored; multiple choice + case-based scenario analysis • Length: 100 questions | 90 Minutes • Passing Score: 70% • Assessment Domains: AI ethics, automation pipelines, regulatory compliance, risk governance, model lifecycle • Retake Policy: Up to 2 retakes allowed within a 6-month period