Assurance Cases as Foundation Stone for Auditing AI-enabled and Autonomous Systems: Workshop Results and Political Recommendations for Action from the ExamAI Project

no code implementations • 17 Aug 2022 • Rasmus Adler, Michael Klaes

Moreover, we check to which extent our proposal is in line with the European AI Act proposal and current safety standardization initiatives addressing AI and Autonomous Systems

Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception

no code implementations • 14 Jun 2022 • Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch

This poses a challenge with respect to the realization of safety-critical perception tasks by means of DDMs.

Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components

no code implementations • 10 Feb 2022 • Michael Kläs, Lisa Jöckel, Rasmus Adler, Jan Reich

Using the proposed argumentation structure might not only increase the integrity of assurance cases but may also allow claims on quantitative targets that would not be justifiable otherwise.