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Duration 14 hours
Course Outline
The EU AI Act: Framework and Regulatory Foundations
- Goals, scope, and guiding principles
- Key definitions and classification criteria
- Duties applicable to various stakeholders
Risk Classification and Compliance Standards
- Banned AI systems and safeguards to prevent their deployment
- High-risk systems and required documentation
- Obligations for limited-risk and minimal-risk systems
Building AI Governance and Internal Policies
- Formulating internal governance frameworks
- Creating oversight structures and reporting channels
- Managing document control and the policy lifecycle
Technical and Organisational Safeguards
- Risk management systems and ongoing evaluation
- Human oversight mechanisms
- Data governance, robustness, and cybersecurity measures
Compliance Documentation and Record Management
- Technical documentation for high-risk systems
- Log retention and traceability requirements
- Maintaining conformity assessment records
Monitoring, Auditing, and Reporting
- Internal audit procedures for AI supervision
- Duties to report to authorities and stakeholders
- Corrective measures and incident response protocols
Compliance with Third Parties, Vendors, and the Supply Chain
- Reviewing AI tools and claims provided by vendors
- Contractual duties and compliance clauses
- Monitoring and re-evaluating external AI services
Implementing Ongoing Compliance
- Developing a long-term compliance strategy
- Coordinating across IT, legal, and management functions
- Staying prepared for regulatory changes
Summary and Future Actions
Requirements
- Knowledge of regulatory or compliance procedures
- Background in organisational risk management
- Understanding of documentation and audit processes
Target Audience
- Governance and risk officers
- Compliance and legal experts
- Internal audit and quality assurance teams
