White Paper: Ensuring Trustworthiness of AI-Enhanced Embedded Systems

Artificial Intelligence (AI) is unlocking new capabilities in safety-critical systems. However, integrating AI safely remains a significant challenge due to its data-driven nature and operation in open and real-world variability.

While established standards such as ISO 26262 and ISO 21448 provide a foundation for functional safety and intended functionality, they do not fully address AI-specific properties like robustness, resilience, and transparency. Emerging standards such as ISO/PAS 8800 begin to close this gap by introducing AI-specific safety lifecycles and properties.

In the white paper “Ensuring Trustworthiness of AI-Enhanced Embedded Systems”, Infineon Technologies and Fraunhofer IKS present how to apply a unified safety lifecycle that integrates these standards on an AI-Based Motor Control Unit (AI-MC) illustrative use case. It shows how robustness and resilience, reinforced by development-time measures and runtime measures such as OOD detection and uncertainty quantification, ensures the trustworthiness of AI systems. These enable safe and reliable deployment of AI-enhanced embedded systems on real-time high integrity platforms like the Infineon AURIX™ – TC4x. 

The proposed approach opens new avenues for safety lifecycle and regulatory compliance, facilitating faster entry into markets with stringent safety requirements.

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