KI-Sicherheit in Fahrzeugsystemen - Detailseite

In recent time AI-components are increasingly deployed in safety-critical domains, including automotive, where AI is perceived as the key technology to enable autonomous driving. To ensure that automotive systems function safe and reliable throughout their whole life cycle, several standards have been developed, such as the ISO 26262 and the ISO 21448. However, ensuring the safety of AI-components following the standards is challenging and the main reason behind the slow adoption of AI-components in any safety-critical domain.
This seminar explores basic principles of safety engineering and the emerging challenges posed by AI-based components as well as state-of-the-art approaches of how safety AI-base components can be improved.

Each week the student we’ll read and present research papers and discuss their findings and implications, with the goal of gaining comprehensive knowledge of the process and the many challenges in ensuring AI-safety. At the end of the seminar students will write a report on a specific research paper and discuss it in the context of AI-safety.

Ohne Vertiefungsschwerpunkt