A4Q AI Compliance Training and Certification

Upon completion of the A4Q AI Compliance training, you will be able to understand the key requirements of the EU AI Act in a business context and apply them to AI systems. You will learn to classify AI systems using a risk-based approach, identify regulatory obligations, and take into account requirements related to governance, transparency, documentation, and human oversight.

In addition, you will understand what organizational measures are necessary for the responsible and compliant use of AI. You will be able to support AI compliance processes, better assess risks, and contribute to demonstrable compliance with regulatory requirements.

The A4Q AI Compliance training course begins at 9:00 a.m. on both training days and ends at 5:00 p.m. Ample break time, including coffee breaks and a lunch break, is scheduled during the training.

Welcome and Objectives

• Overview of the Agenda and Learning Objectives
• Classification of the A4Q AI Compliance Certification
• Clarifying participants' expectations and addressing their specific questions

Introduction to AI Compliance and the EU AI Act

• The Importance of AI Compliance in a Business Context
• Overview of the Objectives, Structure, and Basic Principles of the EU AI Act
• Relevance for organizations, providers, operators, and other roles
• Classification of Regulatory Requirements Across the Lifecycle of AI Systems

Risk-Based Approach and Classification of AI Systems

• Basic Principle of the Risk-Based Approach
• Classification of AI Systems by Risk Level
• High-Risk AI Systems and Requirements Under Annex III
• Exercise: Risk Classification of Selected AI Use Cases

Prohibited Practices and Regulatory Obligations

• Overview of Prohibited AI Practices
• Obligations for High-Risk AI Systems
• Requirements for risk management, data quality, accuracy, robustness, and cybersecurity
• Discussion: Impact on Existing AI Projects and Business Processes

Transparency, Documentation, and Human Oversight

• Transparency and Disclosure Requirements for the Use of AI
• Requirements for Technical Documentation and Traceability
• The Importance of Human Oversight and Clear Responsibilities
• Case Study: Documentation Requirements for an AI System

General-Purpose AI and Specific Requirements

• Classification of General-Purpose AI and Generative AI
• Relevant Requirements for GPAI Models and Their Use
• Implications for Companies That Use or Integrate AI Tools
• Discussion: Opportunities, Risks, and Compliance Issues in Generative AI

Conformity Assessment and CE-Related Documentation

• Fundamentals of Conformity Assessment
• Requirements for Evidence, Documentation, and Audit Processes
• The Importance of Harmonized Standards and Global Interfaces
• Exercise: Preparing Relevant Documentation for an AI System

Post-Market Monitoring and Incident Reporting

• Monitoring AI Systems After Deployment
• Reporting Serious Incidents and Handling Deviations
• Ongoing Assessment of Risks and Changes
• Case Study: Responding to an AI-Related Compliance Incident

Governance, Roles, and Organizational Implementation

• Establishing Appropriate Governance Structures for AI
• Roles, Responsibilities, and Internal Policies
• Collaboration between IT, Compliance, Data Protection, Business Units, and Management
• Group Work: Developing Initial Measures for AI Compliance in the Company

Conclusion, Reflection, and Farewell

• Summary of the Key Training Topics
• Feedback Session and Open Questions
• Outlook on the Practical Application of the Content

• Understanding the EU AI Act: You will understand the structure, objectives, and key requirements of the EU AI Act and be able to assess their implications for companies, providers, and operators of AI systems.
• Classifying AI systems based on risk: You can categorize AI applications by risk level and identify the resulting regulatory obligations.
• Understanding the requirements for high-risk AI systems: You are familiar with key requirements regarding risk management, data quality, transparency, documentation, human oversight, accuracy, and cybersecurity.
• Identifying Prohibited AI Practices: You’ll learn which AI applications are not permitted under the EU AI Act and how this may affect organizations.
• Implementing transparency and documentation requirements: You can understand what information, evidence, and processes are required for the compliant use of AI.
• Supporting governance structures for AI compliance: You understand the roles, responsibilities, and internal policies necessary for the responsible use of AI.
• Assessing compliance risks associated with AI use: You can identify potential risks, develop appropriate measures, and contribute to the safe, trustworthy, and legally compliant use of AI.
• Understand monitoring and reporting requirements: You are familiar with the basic requirements for monitoring AI systems after deployment, as well as how to handle incidents and deviations.

This training will equip you to provide sound support for AI compliance within your organization and to help shape the responsible use of artificial intelligence in accordance with regulatory requirements.

• Executives and decision-makers who understand the requirements of the EU AI Act and want to strategically guide the responsible use of artificial intelligence within their organization.
• Project managers and AI officers who plan, oversee, or implement AI projects and must take into account regulatory requirements, risk classification, and documentation obligations.
• IT and data professionals who want to assess AI systems from a technical perspective, evaluate data quality, and gain a better understanding of requirements for transparency, security, and traceability.
• Compliance managers, data protection officers, and risk managers who wish to establish or further develop AI compliance, governance structures, and internal policies for the legally compliant use of AI.
• Product owners, business analysts, and process managers who want to evaluate AI applications in a corporate context and identify regulatory risks early on.

This training is designed for anyone who wants to better understand AI compliance, the EU AI Act, governance, and risk management, and who wishes to support the safe, transparent, and responsible use of artificial intelligence within their organization.

A basic understanding of artificial intelligence is required to participate in the A4Q AI Compliance Training. We recommend that you first complete the A4Q AI Foundation training or a comparable level of knowledge.

This will help you ensure that you can effectively contextualize content related to the EU AI Act, AI compliance, risk classification, governance, and regulatory requirements.