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AI Certified Lead AI Auditor (CLAIA)

AI Certified Lead AI Auditor (CLAIA)

The Certified Lead AI Auditor (CLAIA) program equips experienced auditors with the knowledge and tools to lead audits of AI systems. This course focuses on AI governance, compliance with standards like NIST AI RMF and ISO/IEC 42001:2023, and the full audit lifecycle. Participants will learn how to evaluate AI systems for risk, transparency, and ethical alignment, and how to communicate findings effectively. Ideal for professionals with a background in auditing or AI compliance, CLAIA helps bridge regulatory, technical, and organizational gaps in AI system evaluations.

Audience:

  • Senior auditors
  • Regulatory leads
  • AI compliance professionals
  • Internal audit managers
  • Risk assurance specialists
  • Ethics and governance officers

Learning Objectives:

  • Understand AI-specific audit frameworks and regulations
  • Lead AI system audits across organizations and industries
  • Apply NIST AI RMF and ISO/IEC 42001:2023 in real audits
  • Identify risks, biases, and governance gaps in AI models
  • Deliver clear, actionable audit findings to stakeholders

Program Modules:

Module 1: Foundations of AI Governance and Audit

  • Introduction to AI governance principles
  • Role of auditors in AI oversight
  • Ethics and transparency in AI systems
  • Key regulatory trends in AI auditing
  • AI-specific audit challenges and risks
  • Stakeholder expectations and responsibilities

Module 2: Standards and Frameworks for AI Auditing

  • Overview of NIST AI Risk Management Framework
  • Understanding ISO/IEC 42001:2023 structure
  • Mapping ISO requirements to audit procedures
  • Global regulatory compliance comparisons
  • Integrating AI audit standards into practice
  • Limitations and gaps in current frameworks

Module 3: AI Audit Lifecycle and Methodology

  • Planning AI audits and scoping models
  • Risk assessment and impact analysis
  • Evidence collection in algorithmic systems
  • Testing data integrity and model fairness
  • Documenting audit procedures and observations
  • Managing audit timelines and dependencies

Module 4: Technical Evaluation of AI Systems

  • Understanding machine learning workflows
  • Evaluating data pipelines and training datasets
  • Detecting algorithmic bias and drift
  • Reviewing explainability and transparency features
  • Verifying model robustness and outputs
  • AI model change management and controls

Module 5: Reporting and Stakeholder Engagement

  • Structuring audit reports for AI systems
  • Communicating technical findings clearly
  • Engaging with compliance and legal teams
  • Presenting risk ratings and recommendations
  • Building trust with internal and external parties
  • Handling disagreements and audit disputes

Module 6: Future Trends and Audit Readiness

  • Auditing generative AI and foundation models
  • Preparing for emerging AI regulations
  • Automation in audit processes
  • Continuous assurance for AI lifecycle
  • Tools for AI audit readiness assessments
  • Roadmap for audit capability development

Exam Domains:

  1. AI Risk and Compliance Strategy
  2. AI Controls Evaluation and Validation
  3. Organizational AI Governance and Policy
  4. AI Systems Risk Profiling and Prioritization
  5. Ethical and Legal Implications in AI Audits
  6. Stakeholder Communication and Reporting Skills

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 Lead AI Auditor (CLAIA). 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 Lead AI Auditor (CLAIA).

Question Types:

  • Multiple Choice Questions (MCQs)
  • True/False Statements
  • Scenario-based Questions
  • Fill in the Blank Questions
  • Matching Questions (Matching concepts or terms with definitions)
  • Short Answer Questions

Passing Criteria:

To pass the Certified Lead AI Auditor (CLAIA) Certification Training exam, candidates must achieve a score of 70% or higher.

Advance your career as a trusted AI audit leader. Enroll in the CLAIA Certification Program today and drive accountability in AI systems.