ETKİNLİKLER

• History and key concepts of AI technology
• AI technology categorizations
• Supervised, unsupervised and reinforcement learning
• AI models,
• AI technology platforms
• AI compute infrastructure: hardware and software

2. AI Life Cycle and its governance

• AI lifecycle management
• AI governance approach
• Roles and responsibilities
• Policies, standards and procedures 
• Strategies for mitigating AI risks
• Frameworks for AI governance

3. Risk Management of AI

• AI benefits for business life
• Threats caused by AI technology
• Use cases of AI in business life
• AI risk measurement challenges
• Risk management terminology
• Three line of defense model
• Risk management steps
• Control categories for AI technology
• Security and privacy concerns in AI systems

4. Internal Audit of AI

• Internal audit process
• Audit planning
• Evidence gathering
• AI control assessment process
• Audit documentation and reporting
• Audit skillset for AI audit

5. AI in Assurance

• AI use cases for different assurance functions
• AI powered continuous risk monitoring
• AI based threat modeling

6. Summary