TRUSTWORTHY AI IN SAFETY-CRITICAL SYSTEMS: Overcoming adoption barriers

Join us on the 23rd of September in Barcelona, Spain.

Learn how AI can be safely and reliably deployed in high-stakes domains like automotive, rail, aerospace and robotics. Through real-world demonstrations, technical sessions, and open discussions, participants will dive into the latest approaches for making AI systems robust, explainable, and compliant with safety standards.

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

Key themes:

• AI Robustness & Safety
• Explainable AI
• Compliance & Standards
• Safety Critical Applications