This program equips professionals to conduct thorough AI capability and compliance assessments. Learn to evaluate AI systems against regulations like the EU AI Act and ISO standards. Focus on privacy, transparency, and documentation audits. Understand how to define and apply risk acceptance criteria. This certification is ideal for those ensuring AI systems meet stringent regulatory and ethical requirements. Become proficient in assessing AI readiness and compliance within organizations. Gain the skills needed for effective AI governance.
Audience: Regulatory liaisons, consultants involved in AI compliance and assessment.
Learning Objectives: Upon completion, participants will be able to:
- Understand AI governance frameworks and regulatory landscapes.
- Assess AI systems for compliance with the EU AI Act.
- Evaluate AI implementations against relevant ISO AI standards.
- Conduct privacy and transparency checks on AI systems.
- Perform audits on AI documentation and processes.
- Define and apply risk acceptance criteria for AI deployments.
Program Modules:
Module 1: Foundations of AI Assessment and Governance
- Introduction to AI assessment principles.
- Overview of global AI regulations.
- Understanding AI governance models.
- Ethical considerations in AI assessment.
- The role of the AI Certified Assessor.
- Key terminology and concepts.
Module 2: EU AI Act Compliance Framework
- Detailed review of the EU AI Act requirements.
- Risk classification under the Act.
- Conformity assessment procedures.
- Technical documentation requirements.
- Transparency obligations for AI systems.
- Assessing compliance readiness.
Module 3: ISO AI Standards Implementation
- Overview of key ISO standards for AI (e.g., ISO/IEC 42001).
- Implementing AI management systems.
- Risk management guidelines in ISO standards.
- Data quality and governance requirements.
- Assessing AI trustworthiness based on standards.
- Integrating ISO standards with regulatory compliance.
Module 4: Privacy and Transparency in AI Systems
- Data protection principles in AI (e.g., GDPR).
- Techniques for ensuring AI transparency.
- Assessing fairness and bias in AI models.
- Privacy-enhancing technologies (PETs) overview.
- Conducting privacy impact assessments for AI.
- Evaluating system explainability methods.
Module 5: AI Documentation and Audit Trails
- Requirements for AI system documentation.
- Importance of logging and audit trails.
- Techniques for auditing AI development processes.
- Reviewing model training data documentation.
- Assessing validation and testing records.
- Best practices for maintaining compliance records.
Module 6: Risk Management and Acceptance in AI
- Frameworks for AI risk assessment.
- Identifying and analyzing AI-specific risks.
- Defining risk tolerance levels.
- Establishing risk acceptance criteria.
- Risk mitigation and control strategies.
- Reporting on AI risk posture.
Exam Domains:
- AI Regulatory Landscape Evaluation
- Standardized AI Assessment Procedures
- Ethical AI and Data Protection Verification
- AI System Documentation Review
- AI Risk Assessment Methodologies
- Compliance Reporting and Remediation Strategies
Course Delivery: The course is delivered through a combination of lectures and interactive discussions, facilitated by experts in AI assessment and compliance. Participants will have access to online resources, including readings and case studies.
Assessment and Certification: Participants will be assessed through quizzes and assignments. Upon successful completion of the course requirements and exam, participants will receive an AI Certified Assessor (AICA) certificate.
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 AI Certified Assessor (AICA) Certification Training exam, candidates must achieve a score of 70% or higher.
Become a certified expert in AI assessment. Enroll in the AICA program today to validate your skills in ensuring AI compliance and trustworthiness.