Event Details
November 26th, 2024 | 10:00 - 11:00 CET
virtuell
As the automotive industry evolves, the integration of Artificial Intelligence (AI) with Functional Safety standards becomes increasingly critical. The ISO/TR 5469 provides a framework for understanding how to effectively assess and analyze the properties of AI systems within the context of Functional Safety. This webinar aims to bridge the gap between these two domains, offering insights into performing a thorough property analysis that aligns with the latest industry standards.
In this comprehensive session, we will delve into the essential components of ISO/TR 5469, highlighting its relevance to both Functional Safety and AI integration. Participants will learn how to conduct a property analysis that not only meets regulatory requirements but also enhances system reliability and safety.
Agenda:
- Understanding ISO/TR 5469 and Its Relevance: A thorough introduction to ISO/TR 5469, including its scope, objectives, and significance in merging AI with Functional Safety.
- Performing Property Analysis: Step-by-step guidance on how to perform a property analysis for AI systems, including practical methods and tools to ensure compliance with Functional Safety standards.
- Challenges and Solutions: Discussion on common challenges faced during the analysis process and effective strategies to overcome them, ensuring successful integration of AI into safety-critical systems.
- Key Takeaways for Practitioners: Practical insights and actionable steps for engineers, safety managers, and project leads to ensure their projects align with ISO/TR 5469 and enhance system safety.
This webinar is tailored for engineers, safety professionals, and anyone involved in the development and assessment of AI systems within safety-critical applications. Join us to explore the forefront of innovation in Functional Safety and AI, and gain the expertise needed to excel in your projects.
Contact details
Tel.: +49 611 504 754 0
Fax: +49 611 504 754 19
INVENSITY GmbH
Mainzer StraĂźe 19
65185 Wiesbaden