This event brings together industrial, research, and academic stakeholders to explore trustworthy AI in safety-critical systems, from automotive and rail to aerospace and robotics.

Learn how three leading EU-funded projects—SAFEXPLAIN, ULTIMATE, and EdgeAI-Trust—are advancing AI safety, explainability, and compliance through real-world demonstrations and discussions. The event offers in-depth insights, hands-on demos, and a unique opportunity to network and exchange best practices.

Our objectives are to:
– Address the challenges of AI Trustworthiness
– Explore the risks, limitations and solutions for AI in safety-critical environments
– Discuss safety assurance strategies for deep learning and autonomous decision-making systems
– Ensure trustworthiness along the (hybrid) AI lifecycle
– Bridge the gap between AI innovation and safety regulations
– Navigate safety standards
– Ensure the AI development process and explainability solutions align with regulatory requirements
– Suggest guidelines when standards do not yet consider AI
– Foster industry collaboration & knowledge-sharing
– Connect different experts tackling AI safety challenges through different approaches
– Share real-world case studies, best practices, and safety development processes from top industry experts
– Include end-users in-the-loop to ease the adoption of AI solutions
– Provide concrete takeaways for safer AI implementation
– Provide practical frameworks for integrating AI while meeting compliance & safety goals environments
– Equip attendees with tools, methodologies & examples of how to enhance AI trustworthiness for use in their systems
<br>Key themes:
– AI Robustness &amp; Safety
– Explainable AI
– Compliance &amp; Standards
– Safety Critical Applications