4 Motors For Europe Engineers
 

ArtificiaI Intelligence

 
Today, AI lies at the core of global economic and technological progress. That's why european engineers have joined forces to reflect on this key topic and to foster a broad debate that helps understand and address the challenges and opportunities it presents
SESSION |  AUVERGNE-RHÔNE-ALPES
The European way to AI 
Impacts of the IA regulation on sovereignty and competitivenes 

March 18, 2025 at 6 p.m
In a context where AI is positioned as a major accelerator of technology, Europe's challenge is not only to stay in the race by maintaining control but also to embrace adoption. Among the tools available to the European Commission, one of the key ones is regulatory power. For several years now, the European Commission has been legislating (GDPR, Data Act, AI Act, etc.) and, from this perspective, has a head start compared to other countries. What are the impacts of these regulations in terms of sovereignty and competitiveness? The speakers, who began analyzing the AI Act two years ago, will explain the impacts of this text and the key issues it involves

Virginie MATHIVET 
Founder of Hemelopse, IA Phd, Woman in Tech 2022.

Sophie GUICHERD 
Lawyer & doctor in digital law.

SESSION |  CATALUNYA
IA as a facilitator of service robotics 
Benefits of IA as a tool to develop innovative engineering solutions

 

April 8, 2025 at 6 p.m
Artificial intelligence (AI) is essential for the development of robotics, as it equips robots with learning, adaptation, and autonomy capabilities, which are key aspects to make them more useful and versatile in complex environments. Thanks to AI, robots can analyze large volumes of data, recognize patterns, and make decisions in real-time, all of which are vital for enabling robots to interact with humans. AI allows service robots to adapt to changing environments, recognize patterns, and act in a personalized way—fundamental aspects in sectors such as healthcare, personal care, and logistics. The speaker will explore how robots can better understand and respond to users' needs, thereby improving the quality of service and enhancing efficiency and safety in human-robot interactions. AI is one of the most powerful tools for developing innovative solutions in the industrial and service sectors.

Francesco FERRO 
Founder of PAL Robotics, Chair IFR Service Robot Group.

SESSION |  LOMBARDIA
Responsible Artificial Intelligence 
The Role of Engineers in Designing Collaborative Human-Machine Systems for Competent, Sustainable, and AI Act-Compliant Innovation

 

May 6, 2025 at 6 p.m
The speaker will address the importance of defining the professionalism and skills necessary for the implementation of responsible AI systems, emphasizing the pivotal role of engineers in driving sustainable innovation. This includes underlining the need for compliance with the AI Act and advocating for a thoughtful approach to mitigate potential negative social impacts of AI, such as trend manipulation, social inequality, and the importance of fostering collaborative human-machine systems that encourage cooperation rather than replacement. She will offer an Italian perspective while maintaining a broader European relevance and applicability, highlighting the essential role of professional associations in ensuring engineers are properly equipped to implement AI safely and effectively. This approach will uphold high ethical standards, quality, and full regulatory compliance.

Prof. Raffaella FOLGIERI 
PhD, Eng.

SESSION |  BADEN WÜRTTEMBERG
AI Engineering
Implementing AI in complex technical systems

 

June 24, 2025 at 6 p.m
Dr.-Ing. Julius Pfrommer is the head of the new department, "Cognitive Industrial Systems," at Fraunhofer IOSB and holds a degree in industrial engineering from the Karlsruhe Institute of Technology and the Institut Polytechnique de Grenoble, as well as a Ph.D. in computer science from the Karlsruhe Institute of Technology. His dissertation on distributed planning in factory automation received the ICT Dissertation Prize. Julius Pfrommer is a lecturer at KIT, where he teaches a master's course on Convex Optimization with applications in machine learning and engineering. His research interests include the integration of AI with engineering and natural sciences, adaptive production systems, planning under uncertainty, and optimization theory in various applications

Dr.-Ing. Julius PFROMMER 
Head of Department "Cognitive Industrial Systems" at Fraunhofer IOSB.

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