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Duration 14 hours
Course Outline
The EU AI Act: Framework and Regulatory Basis
- Key objectives, scope, and guiding principles
- Core definitions and classification standards
- Responsibilities assigned to various stakeholders
Risk Classification and Compliance Expectations
- Banned AI systems and safeguards to prevent their deployment
- High-risk systems and the documentation they require
- Specific requirements for limited-risk and minimal-risk systems
Building AI Governance and Internal Policies
- Creating internal governance frameworks
- Structuring oversight roles and reporting hierarchies
- Managing document control and the policy lifecycle
Technical and Organizational Controls
- Implementing risk management systems and continuous assessment
- Establishing human oversight mechanisms
- Ensuring data governance, robustness, and cybersecurity measures
Compliance Documentation and Record Maintenance
- Technical documentation needs for high-risk systems
- Log retention and traceability requirements
- Managing conformity assessment evidence
Monitoring, Auditing, and Reporting
- Internal audit protocols for AI supervision
- Duties to report to regulatory authorities and stakeholders
- Corrective measures and incident response protocols
Third-Party, Vendor, and Supply-Chain Oversight
- Assessing AI tools and claims provided by vendors
- Defining contractual obligations and compliance clauses
- Overseeing and re-evaluating external AI services
Implementing Continuous Compliance
- Developing a long-term compliance strategy
- Fostering cross-departmental cooperation with IT, legal, and management
- Staying prepared for evolving regulatory changes
Wrap-up and Future Actions
Requirements
- Familiarity with regulatory or compliance processes
- Background experience in organizational risk management
- Knowledge of documentation and audit workflows
Intended Participants
- Governance and risk officers
- Compliance and legal experts
- Internal audit and quality assurance personnel