Summary
Certified ISO/IEC 23894 AI Risk Manager Certification Exam validates professionals' knowledge and understanding of Artificial Intelligence (AI) risk management principles, frameworks, risk assessment methodologies, and responsible AI governance practices.
Based on the international standard ISO/IEC 23894:2023 (Artificial Intelligence): Guidance on Risk Management, this certification exam assesses candidates' ability to identify, analyze, evaluate, treat, monitor, and communicate AI-related risks throughout the AI system lifecycle.
The examination covers essential areas including AI Risk Assessment, AI Governance, Responsible AI, AI Risk Treatment, AI Risk Monitoring, AI Ethics, Regulatory Compliance, and AI Risk Management Frameworks.
Exam Benefits
• Validate AI risk management knowledge, • Strengthen AI governance capabilities, • Enhance professional credibility, • Support responsible AI adoption, • Improve AI risk assessment skills, • Build AI compliance and assurance readiness, • Understand AI lifecycle risks, • Support risk-informed AI decisions, • Strengthen cross-functional collaboration, • Advance AI governance and GRC career opportunities
Who Should Attend
• AI Risk Managers, • AI Governance Professionals, • Enterprise Risk Managers, • GRC Professionals, • Information Security Managers, • Cybersecurity Professionals, • IT and IS Auditors, • Compliance Officers, • Data Protection and Privacy Professionals, • AI/ML Engineers and Developers, • Data Scientists, • AI Product Managers, • Technology Consultants, • Internal Auditors
Exam Syllabus
Introduction to ISO/IEC 23894 and AI risk management, AI terminology, context and risk concepts, Principles and framework for AI risk management, Leadership, governance and accountability, Integration of AI risk management into organizational processes, Establishing scope, context and risk criteria, AI risk identification, AI risk analysis, AI risk evaluation, AI risk treatment and control selection, AI risk monitoring, review and reporting, Risk communication, consultation and documentation, AI system lifecycle risk considerations, AI-specific risk sources and impacts, Continual improvement of AI risk management
About Exam
Exam Duration - 1 Hours Exam Pattern – MCQs Number of Questions: 50 Passing Marks: 35 Exam Method – Online Open Book: Yes Exam Pass Mark - 70% (35/50 Marks) Exam Result - Immediate
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