Module 1: AI Risk Governance and Framework Integration
AI Models, Frameworks, Strategies, and Use Cases
- Types of AI
- AI Frameworks
- Business Use Case and AI Use Case Review
- AI Business Strategies
- AI Organizational Processes and Alignment
AI Governance Fundamentals
- Alignment to Existing Organizational Structures
- AI Ownership, Oversight, and Accountability
AI-related Roles and Responsibilities
- Accountability and AI
- RACI for AI Solutions
- AI Policies, Procedures, and Organizational Training
- AI Acceptable Use Policy
- AI Policy Development
- AI Procedures and Manuals
- Organizational Culture and AI Risk Governance
- Elements of Effective AI Training and Awareness
AI Regulatory Compliance and Legal Considerations
- Compliance With Laws and Regulations
- Gaps in Regulatory Coverage
- Mapping Legal Requirements for AI
- Assessing Legal Exposure and Liability for AI Actions
- Intellectual Property Considerations in AI
- Vendor Contract Review
AI Trustworthiness, Ethical and Societal Implications
- Responsible Use of AI Systems 68
- Bias and Fairness
- Transparency and Explainability
- Trust and Safety
- Human Rights and Societal Impact
- Environmental Impact
Module 2: AI Life Cycle Risk Management
AI Design, Development, Procurement, and Documentation
- Plan and Design
- Data Requirements for AI Models
- Procurement of AI Solutions
- Build, Adapt, and Document Models
AI Model Training, Testing and Validation
- Sourcing Datasets
- Validating the Data
- Model Training
- Model Testing and Validation
- Model Performance and Fine Tuning
AI Implementation, Maintenance, and Decommissioning
- AI Deployment and Implementation
- Robustness and Scalability Considerations
- Monitoring and Managing Model Drift
- Change Management in AI Systems
- Decommissioning AI Solutions
AI Data and Asset Management
- AI Asset Inventory
- Data Collection for AI
- Data Classification
- Data Confidentiality
- Data Quality
- Data Balancing
- Data Scarcity
- Data Security
- Data Preparation and Normalization
- Data Minimization and Privacy Considerations
Module 3: AI Risk Program Management
AI Risk Scenario Identification and Assessment
- AI Threat Landscape
- AI Threat Modeling
- Development of AI Risk Scenarios
- AI Risk Classification
- AI Risk Assessment
AI Risk Treatment Strategies
- Accept
- Avoid
- Mitigation
- Transfer/Share
AI Controls Management
- AI Control Types and Control Frameworks
- AI Control Selection and Validation
- Control Performance
- Controls Specific to AI Solutions
- Use of AI in Control Management
AI Risk Metrics, Monitoring, and Reporting
- Risk and Performance Metrics
- AI Risk Reportings
AI Supply Chain Risk Management
- AI Vendor Management
- AI Shared Responsibility Model
- AI Software Supply Chain Risk
- Cloud Computing Risk in AI Supply Chains
AI Incident Response, BIA, Business Continuity, and Disaster Recovery
- AI Business Impact Analysis Prepare
- Identify and Report
- Assess
- Respond
- Post-incident Review