{"id":10925,"date":"2026-05-23T08:56:04","date_gmt":"2026-05-23T06:56:04","guid":{"rendered":"https:\/\/www.ozonaconsulting.com\/ai-governance-compliance-workshops\/"},"modified":"2026-06-01T22:02:39","modified_gmt":"2026-06-01T20:02:39","slug":"ai-governance-compliance-workshops","status":"publish","type":"page","link":"https:\/\/www.ozonaconsulting.com\/en\/ai-governance-compliance-workshops\/","title":{"rendered":"AI Governance & Compliance Workshops"},"content":{"rendered":"

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AI GOVERNANCE AND COMPLIANCE WORKSHOPS<\/strong><\/span><\/span><\/h2>\n

[\/vc_column_text][vc_empty_space][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_column_text css=””]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).<\/p>\n

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.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” padding_top=”10″ padding_bottom=”10″][vc_column][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=””][vc_column_inner][vc_column_text css=””]<\/p>\n

KEY FEATURES OF THE AI GOVERNANCE AND COMPLIANCE WORKSHOPS<\/strong><\/span><\/span><\/h2>\n

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THEORY AND PRACTICE<\/h3>

The theoretical content is complemented with many practical exercises.<\/p><\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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REGULATORY AND GOVERNANCE FOCUS<\/h3>

They address AI governance, risk management and regulatory compliance<\/p><\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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APPLICABLE TO ANY SECTOR<\/h3>

The content and exercises are not specific to a single field of application.<\/p><\/div><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][vc_empty_space][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/3″]

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NO ADVANCED TECHNICAL KNOWLEDGE REQUIRED<\/h3>

The content does not require prior knowledge of programming, data models or AI techniques.<\/p><\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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MULTI-LEVEL TRAINING<\/h3>

The training is organized into two complementary workshops.<\/p><\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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NO MANDATORY PREREQUISITES<\/h3>

Although the workshops are related to each other, they can be taken independently<\/p><\/div><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][vc_empty_space][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” background_color=”#e8e8e8″ padding_top=”70″ padding_bottom=”50″][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_column_text]<\/p>\n

TARGET AUDIENCE OF THE VISUALIZATION TECHNIQUES WORKSHOPS<\/span><\/h2>\n

[\/vc_column_text][vc_empty_space height=”15px”][vc_column_text css=””]Below is the list of profiles for whom the workshops are intended:<\/p>\n

    \n
  • Governance, risk and compliance officers<\/li>\n
  • Information security, business continuity and resilience officers<\/li>\n
  • IT, architecture and service management officers<\/li>\n
  • Innovation, data and digital transformation officers<\/li>\n
  • Operational and technical profiles involved in the use or oversight of AI systems<\/li>\n
  • Internal auditors and control profiles<\/li>\n<\/ul>\n

    The content is not aimed at a specific industry sector.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” padding_top=”70″ padding_bottom=”50″][vc_column][vc_column_text css=””]<\/p>\n

    ORGANIZATION AND LEVELS OF THE WORKSHOPS ON AI GOVERNANCE AND COMPLIANCE<\/strong><\/span><\/span><\/h2>\n

    Ozona’s training on AI governance and compliance is organized into two workshops:<\/p>\n

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    FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE GOVERNANCE<\/h5>

    8 hours. 795\u20ac + VAT\/attendee<\/p><\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″]

    <\/i><\/span><\/div>
    REGULATORY COMPLIANCE IN ARTIFICIAL INTELLIGENCE \u00b7 EU AI ACT<\/h5>

    8 hours. 795\u20ac + VAT\/attendee<\/p><\/div><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” padding_top=”70″ padding_bottom=”50″][vc_column width=”1\/6″][vc_empty_space][\/vc_column][vc_column width=”2\/3″][vc_column_text]<\/p>\n

    Current prices and promotions<\/span><\/h2>\n

    [\/vc_column_text][vc_empty_space height=”15px”][vc_column_text css=””]795\u20ac\/participant \u2013 1 registration
    \n745\u20ac\/participant \u2013 2 registrations from the same organization in the same course
    \n695\u20ac\/participant \u2013 3 registrations (or more) from the same organization in the same course<\/p>\n

    The price includes the workshop, manual and diploma.
    \nTaxes not included.[\/vc_column_text][\/vc_column][vc_column width=”1\/6″][vc_empty_space][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern”][vc_column][vc_column_text] [\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” background_color=”#e8e8e8″ padding_top=”70″ padding_bottom=”50″][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/3″][vc_single_image image=”11058″ img_size=”large” css=”” qode_css_animation=””][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text css=””]<\/p>\n

    FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE GOVERNANCE<\/span><\/h2>\n

    [\/vc_column_text][vc_empty_space height=”15px”][vc_column_text css=””]AI GOVERNANCE BASED ON ISO\/IEC 42001 AND ISO\/IEC 22989<\/strong>
    \nPrinciples of Artificial Intelligence governance in organizations
    \nAI concepts and terminology according to ISO\/IEC 22989
    \nStructure and components of an AI management system (ISO\/IEC 42001)
    \nRoles, responsibilities and AI governance policies
    \nRisk management associated with the lifecycle of AI systems
    \nIntegration of AI governance with information security, continuity and other management systems[\/vc_column_text][vc_empty_space height=”15px”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” background_color=”#ffffff” padding_top=”70″ padding_bottom=”50″][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”2\/3″][vc_column_text css=””]<\/p>\n

    REGULATORY COMPLIANCE IN ARTIFICIAL INTELLIGENCE \u00b7 EU AI ACT<\/span><\/h2>\n

    [\/vc_column_text][vc_empty_space height=”15px”][vc_column_text css=””]PRACTICAL APPLICATION OF THE EUROPEAN AI REGULATION<\/strong>
    \nStructure and scope of the European Artificial Intelligence Regulation
    \nRisk-based approach and classification of AI systems
    \nProhibited practices and high-risk systems
    \nTransparency obligations and information requirements
    \nLegal roles: provider and deployer
    \nApplication timeline and sanctions regime
    \nCriteria for performing assessments and gap analyses[\/vc_column_text][vc_empty_space height=”15px”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”11059″ img_size=”large” css=”” qode_css_animation=””][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” padding_top=”70″ padding_bottom=”50″][vc_column width=”1\/6″][vc_empty_space][\/vc_column][vc_column width=”2\/3″][vc_column_text]<\/p>\n

    WORKSHOP SYLLABUS<\/span><\/h3>\n

    [\/vc_column_text][vc_empty_space height=”15px”][vc_accordion collapsible=”yes” style=”accordion” disable_keyboard=””][vc_accordion_tab title=”FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE GOVERNANCE” title_tag=”h4″][vc_column_text css=””]AI governance based on ISO\/IEC 42001 and ISO\/IEC 22989<\/strong><\/p>\n

     <\/p>\n

    Introduction to Artificial Intelligence governance<\/p>\n

      \n
    • \n
        \n
      • AI as an organizational capability<\/li>\n
      • Risks associated with the use of AI<\/li>\n
      • AI governance vs. technical development of AI<\/li>\n
      • Relationship among AI, data, processes and decisions<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

         <\/p>\n

        Artificial Intelligence concepts and terminology (ISO\/IEC 22989)<\/p>\n

          \n
        • \n
            \n
          • Definition of an AI system<\/li>\n
          • Types of AI systems<\/li>\n
          • Lifecycle of AI systems<\/li>\n
          • Actors involved in the use of AI<\/li>\n
          • Differences among models, systems and applications<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

             <\/p>\n

            AI governance framework<\/p>\n

              \n
            • \n
                \n
              • Principles of AI governance in organizations<\/li>\n
              • Corporate governance and AI governance<\/li>\n
              • Roles and responsibilities<\/li>\n
              • Organizational policies and principles<\/li>\n
              • Integration with existing governance models<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                 <\/p>\n

                Introduction to ISO\/IEC 42001<\/p>\n

                  \n
                • \n
                    \n
                  • Purpose and scope of the standard<\/li>\n
                  • High-level structure (HLS)<\/li>\n
                  • Relationship with other ISO standards<\/li>\n
                  • Risk-based approach<\/li>\n
                  • PDCA cycle applied to AI<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                     <\/p>\n

                    Artificial Intelligence management system<\/p>\n

                      \n
                    • \n
                        \n
                      • Context of the organization and scope of the system<\/li>\n
                      • Leadership and management commitment<\/li>\n
                      • Planning of the AI management system<\/li>\n
                      • Support, competencies and awareness<\/li>\n
                      • Operation and control of the use of AI<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                         <\/p>\n

                        Risk management in AI systems<\/p>\n

                          \n
                        • \n
                            \n
                          • Identification of risks associated with AI<\/li>\n
                          • Technical, operational, legal and reputational risks<\/li>\n
                          • Risks arising from data and models<\/li>\n
                          • Risk assessment and prioritization<\/li>\n
                          • Risk treatment measures<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                             <\/p>\n

                            Governance of the AI lifecycle<\/p>\n

                              \n
                            • \n
                                \n
                              • Design and acquisition of AI systems<\/li>\n
                              • Use and operational oversight<\/li>\n
                              • Change management and evolution of models<\/li>\n
                              • Retirement and decommissioning of AI systems<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                 <\/p>\n

                                Integration with other management systems<\/p>\n

                                  \n
                                • \n
                                    \n
                                  • Relationship with information security ISO 27001<\/li>\n
                                  • Relationship with business continuity ISO 22301<\/li>\n
                                  • Relationship with service management ISO 20000<\/li>\n
                                  • Leveraging existing structures<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                    [\/vc_column_text][\/vc_accordion_tab][vc_accordion_tab title=”ARTIFICIAL INTELLIGENCE \u00b7 EU AI ACT” title_tag=”h4″][vc_column_text css=””]Practical application of the European AI Regulation<\/strong><\/span><\/p>\n

                                     <\/p>\n

                                    Introduction to the European Artificial Intelligence Regulation<\/p>\n

                                      \n
                                    • \n
                                        \n
                                      • Objectives of the EU AI Act<\/li>\n
                                      • Scope of application<\/li>\n
                                      • Relationship with other regulatory frameworks<\/li>\n
                                      • General principles of the Regulation<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                         <\/p>\n

                                        Risk-based approach<\/p>\n

                                          \n
                                        • \n
                                            \n
                                          • Risk categories in the EU AI Act<\/li>\n
                                          • Regulatory rationale of the risk-based approach<\/li>\n
                                          • Practical implications for organizations<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                             <\/p>\n

                                            Prohibited practices<\/p>\n

                                              \n
                                            • \n
                                                \n
                                              • Concept of unacceptable risk<\/li>\n
                                              • Prohibited systems<\/li>\n
                                              • Examples of prohibited practices<\/li>\n
                                              • Consequences of non-compliance<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                 <\/p>\n

                                                High-risk AI systems<\/p>\n

                                                  \n
                                                • \n
                                                    \n
                                                  • Definition and high-risk criteria<\/li>\n
                                                  • Areas of application<\/li>\n
                                                  • Relationship with fundamental rights<\/li>\n
                                                  • Organizational impact of high-risk systems<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                     <\/p>\n

                                                    Obligations applicable to high-risk systems<\/p>\n

                                                      \n
                                                    • \n
                                                        \n
                                                      • Risk management system<\/li>\n
                                                      • Data governance and quality<\/li>\n
                                                      • Technical documentation<\/li>\n
                                                      • Records and traceability<\/li>\n
                                                      • Transparency and instructions for use<\/li>\n
                                                      • Human oversight<\/li>\n
                                                      • Accuracy, robustness and cybersecurity<\/li>\n
                                                      • Quality management system<\/li>\n
                                                      • Post-market monitoring<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                         <\/p>\n

                                                        Limited-risk systems and transparency obligations<\/p>\n

                                                          \n
                                                        • \n
                                                            \n
                                                          • Interaction with individuals<\/li>\n
                                                          • Chatbots and virtual assistants<\/li>\n
                                                          • Generative AI and synthetic content<\/li>\n
                                                          • Information to the user<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                             <\/p>\n

                                                            Minimal-risk systems<\/p>\n

                                                              \n
                                                            • \n
                                                                \n
                                                              • Exclusion criteria<\/li>\n
                                                              • Justification of the classification<\/li>\n
                                                              • Defensible documentation<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                                 <\/p>\n

                                                                Legal roles under the EU AI Act<\/p>\n

                                                                  \n
                                                                • \n
                                                                    \n
                                                                  • Provider<\/li>\n
                                                                  • Deployer<\/li>\n
                                                                  • Criteria for the assignment of roles<\/li>\n
                                                                  • Legal and operational implications<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                                     <\/p>\n

                                                                    Application timeline and sanctions regime<\/p>\n

                                                                      \n
                                                                    • \n
                                                                        \n
                                                                      • Application milestones of the Regulation<\/li>\n
                                                                      • Transition period<\/li>\n
                                                                      • Sanctions regime<\/li>\n
                                                                      • Economic and reputational impact<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                                         <\/p>\n

                                                                        Compliance assessment and Gap Analysis<\/p>\n

                                                                          \n
                                                                        • \n
                                                                            \n
                                                                          • Identification of the regulatory perimeter<\/li>\n
                                                                          • Classification of systems<\/li>\n
                                                                          • Gap analysis<\/li>\n
                                                                          • Prioritization of actions<\/li>\n
                                                                          • Adaptation plan<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

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                                                                            ATTENDEE TESTIMONIALS<\/span><\/h2>\n

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                                                                              REGISTRATION REQUEST FOR THE AI GOVERNANCE AND COMPLIANCE WORKSHOPS<\/h2>\n

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