White Papers and Studies

In the white paper “Ensuring Trustworthiness of AI-Enhanced Embedded Systems”, Infineon Technologies and Fraunhofer IKS present how to apply a unified safety lifecycle on an AI-Based Motor Control Unit (AI-MC) illustrative use case.

In this white paper, we provide an overview of the key provisions outlined in the EU AI Act, addressing risk-classification, stakeholder considerations, and requirements, with a particular focus on safety-critical and therefore high-risk AI systems. 

The work builds on the authors’ earlier research for the Royal Academy of Engineering on the safety of complex systems. 

How is it possible to develop safe software systems based on artificial intelligence? As simple as the question sounds, a comprehensive answer would be complex. Therefore, the white paper "Safe AI - How is it possible?" focuses on the technical design and the engineering principles of safe AI-based systems.

Together with the Huawei Research Center Munich, the Fraunhofer Institute for Cognitive Systems IKS has written a white paper on Artificial Intelligence (AI) for Intelligent Transport Systems (ITS).

As part of the ADA Lovelace Center for Analytics, Data and Applications, the Fraunhofer Institute for Cognitive Systems IKS has developed a technical white paper on machine learning methods for reliable perception of autonomous systems.

In collaboration with Magazino GmbH the Frauhofer Institute for Cognitive Systems IKS presents a white paper on the obstacles and potentials of “DevOps for developing cyber-physical systems”.

In the white paper »Flexilient End-to-End Architectures« we present a novel approach for designing and managing intelligent connected autonomous systems at runtime that allows safety aspects to be evaluated and guaranteed not only during the design phase and for worst-case scenarios, but also at runtime in line with the current situation.

Connected mobility applications help to continuously improve traffic safety and efficiency. Today, much time and effort have to be invested to bring an idea into a safe prototype and to finally launch a reliable product.