In an era where Artificial Intelligence (AI) is rapidly transforming our world, navigating and complying with the European AI regulatory landscape is more complex and uncertain than ever.

As we enter into a phase of regulatory implementation, the obligations and requirements set out by the EU AI Act for providers and deployers of AI are fast approaching. Nevertheless, informative and clear guidance remain scarce, making it challenging to prepare of the Act’s entry into force.

This intensive two-day course is a deep dive into AI compliance and risk management in the EU. Become familiar with the EU AI Act’s risk-based approach and explore its interplay with the larger digital regulatory framework, including the GDPR, DSA, DMA and NIS2 Directive to gain a rich understanding of their impact on AI development, deployment and governance.

This course will enable you to master AI governance, enforcement, and compliance within the EU and understand your obligations as a deployer of AI systems. You will develop specialised theoretical, technical, and practical knowledge in AI risk identification, mitigation, and management to foster responsible and lawful AI use.

Our interactive workshops will enable you to gain hands-on experience with various risk mitigation measures, such as impact assessments, which can be implemented in a variety of contexts to ensure responsible AI adoption and management.

Upon completion, you will have the tools and knowledge to foster a culture of ethical AI use and integration within your institution or organisation, in alignment with EU AI regulation.

What you will learn

• Develop a taxonomy of key AI terms, including various concepts and systems and their applications for public administration, to accurately and critically assess the benefits of AI-adoption against its potential
• Gain in-depth knowledge of the EU digital regulatory framework, with special attention to the EU AI Act, and the intersection of AI, data protection, and
• Understand governance structures and enforcement mechanisms that ensure compliance and accountability in AI deployment at the EU and Member State
• Establish a technical understanding of AI systems and learn how to identify, anticipate, and assess associated risks, hazards, and
• Strengthen practical skills in interdisciplinary risk mitigation and gain insights into responsible AI
• Learn when and how to implement best practices and proper safeguarding mechanisms for EU compliance for AI deployment within public