The AI Governance and Compliance Workshops are based on the main international and regulatory frameworks on AI, in particular the ISO/IEC 42001 standard for Artificial Intelligence management systems, ISO/IEC 22989 as a reference for concepts and terminology, and the European Artificial Intelligence Regulation (EU AI Act).
These training programs are designed to help organizations structure the use of AI from a governance, risk and compliance perspective, and constitute a natural complement to Ozona’s services in assessment, risk analysis and the definition of AI management systems. Although a prior general understanding of the use of AI in the organization is recommended, the workshops can be taken without specific technical prerequisites.
The theoretical content is complemented with many practical exercises.
They address AI governance, risk management and regulatory compliance
The content and exercises are not specific to a single field of application.
The content does not require prior knowledge of programming, data models or AI techniques.
The training is organized into two complementary workshops.
Although the workshops are related to each other, they can be taken independently
Below is the list of profiles for whom the workshops are intended:
The content is not aimed at a specific industry sector.
Ozona’s training on AI governance and compliance is organized into two workshops:
8 hours. 795€ + VAT/attendee
8 hours. 795€ + VAT/attendee
795€/participant – 1 registration
745€/participant – 2 registrations from the same organization in the same course
695€/participant – 3 registrations (or more) from the same organization in the same course
The price includes the workshop, manual and diploma.
Taxes not included.
AI GOVERNANCE BASED ON ISO/IEC 42001 AND ISO/IEC 22989
Principles of Artificial Intelligence governance in organizations
AI concepts and terminology according to ISO/IEC 22989
Structure and components of an AI management system (ISO/IEC 42001)
Roles, responsibilities and AI governance policies
Risk management associated with the lifecycle of AI systems
Integration of AI governance with information security, continuity and other management systems
PRACTICAL APPLICATION OF THE EUROPEAN AI REGULATION
Structure and scope of the European Artificial Intelligence Regulation
Risk-based approach and classification of AI systems
Prohibited practices and high-risk systems
Transparency obligations and information requirements
Legal roles: provider and deployer
Application timeline and sanctions regime
Criteria for performing assessments and gap analyses
AI governance based on ISO/IEC 42001 and ISO/IEC 22989
Introduction to Artificial Intelligence governance
Artificial Intelligence concepts and terminology (ISO/IEC 22989)
AI governance framework
Introduction to ISO/IEC 42001
Artificial Intelligence management system
Risk management in AI systems
Governance of the AI lifecycle
Integration with other management systems
Practical application of the European AI Regulation
Introduction to the European Artificial Intelligence Regulation
Risk-based approach
Prohibited practices
High-risk AI systems
Obligations applicable to high-risk systems
Limited-risk systems and transparency obligations
Minimal-risk systems
Legal roles under the EU AI Act
Application timeline and sanctions regime
Compliance assessment and Gap Analysis