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Ensuring Trustworthiness of AI-Enhanced Embedded Systems

This white paper presents a unified safety lifecycle that integrates these standards. Using AI-Based Motor Control Unit (AI-MC) as an illustrative use case, it shows how robustness and resilience can be systematically realized through concrete development-time measures and operational-time measures (e.g., Out-of-Distribution). Together, these enable safe and reliable deployment of AI-based systems on real-time high integrity platforms. The recommendations presented aim to guide practitioners in

6.67 MB
Feb 10, 2026