Alexander FaulDipl.-Ing. Alexander Faul studied electrical engineering and information technology at the University of Stuttgart from 2006 to 2012. After graduating, he worked as a research assistant in the Institute for Automation Technology and Software Systems at the University of Stuttgart, before starting at Vector Informatik in early 2018. At Vector Informatik, he heads the artificial intelligence division in the RDE department.
Challenges of AI Software Testing: Understanding and Finding Its Limitations
One of the most important issues regarding the integration of AI-based software in security-critical environments is how to test them. One cornerstone of AI testing could be explainable AI (xAI). It helps software developers understand the decision-making process of AI algorithms, which is fundamental for trustworthy AI. Another important aspect is to find the limitations of the security-critical software. Utilizing AI methods can complement conventional approaches and yield a more comprehensive risk assessment. In this talk, we show how we implemented xAI and AI testing methods in specific use cases.