{"id":10398,"date":"2025-08-05T12:13:23","date_gmt":"2025-08-05T10:13:23","guid":{"rendered":"https:\/\/ai-matters.eu\/?post_type=event&p=10398"},"modified":"2026-02-19T10:09:36","modified_gmt":"2026-02-19T09:09:36","slug":"workshop-eu-ai-act","status":"publish","type":"event","link":"https:\/\/ai-matters.eu\/de\/event\/workshop-eu-ai-act\/","title":{"rendered":"Workshop: Understanding and Implementing the EU AI Act in Research and Industry"},"content":{"rendered":"\n

Organized by ARENA2036 | Stuttgart<\/u><\/strong><\/p>\n\n\n\n

The European Union\u2019s AI Act is poised to become a landmark regulatory framework, setting global standards for the responsible development and deployment of Artificial Intelligence. As AI becomes increasingly embedded across research, innovation, and industrial applications, understanding and preparing for its legal, ethical, and technical implications is crucial.<\/p>\n\n\n\n

With the European Union\u2019s AI Act<\/strong> soon to come into force, companies, research institutions, and developers face pressing questions: What defines \u201cresponsible AI\u201d? How do we translate abstract legal requirements into concrete technical practices? And how can we prepare now for compliance tomorrow?<\/p>\n\n\n\n

This hands-on workshop, developed by ARENA2036,<\/strong> offers practical orientation for engineers, researchers, and decision-makers. Through six structured modules, participants gain insights into responsible AI development under the upcoming regulatory framework.<\/p>\n\n\n\n

Workshop Modules<\/u><\/strong><\/p>\n\n\n\n

Module 1: Basics of Responsible AI<\/strong>
Understand key terms like transparency, fairness, accountability, and human oversight. Explore the societal and ethical dimensions of AI\u2014and what they mean for your work.<\/p>\n\n\n\n

Module 2: Governance<\/strong>
Learn how AI governance works across legal, organizational, and technical domains. Get to know roles and responsibilities in AI risk management.<\/p>\n\n\n\n

Module 3: Procedure and Policies<\/strong>
Dive into internal company and institutional procedures needed to align with the AI Act\u2014risk classification, conformity assessments, and documentation.<\/p>\n\n\n\n

Module 4: Engineering Responsible AI<\/strong>
See how to translate legal and ethical requirements into system architecture and technical workflows. Includes concrete examples of AI system design and evaluation.<\/p>\n\n\n\n

Module 5 & 6: Case Studies<\/strong>
Analyze real-world AI applications (e.g. predictive maintenance, medical diagnostics, or automation) from both compliance and engineering perspectives. Explore risk mitigation and value-sensitive design through group discussion and guided templates.<\/p>\n\n\n\n

Who Should Attend<\/u><\/strong><\/p>\n\n\n\n