  Artificial Intelligence (AI) is increasingly used in critical applications.
Thus, the need for dependable AI systems is rapidly growing. In 2018, the
European Commission appointed experts to a High-Level Expert Group on AI
(AI-HLEG). AI-HLEG defined Trustworthy AI as 1) lawful, 2) ethical, and 3)
robust and specified seven corresponding key requirements. To help development
organizations, AI-HLEG recently published the Assessment List for Trustworthy
AI (ALTAI). We present an illustrative case study from applying ALTAI to an
ongoing development project of an Advanced Driver-Assistance System (ADAS) that
relies on Machine Learning (ML). Our experience shows that ALTAI is largely
applicable to ADAS development, but specific parts related to human agency and
transparency can be disregarded. Moreover, bigger questions related to societal
and environmental impact cannot be tackled by an ADAS supplier in isolation. We
present how we plan to develop the ADAS to ensure ALTAI-compliance. Finally, we
provide three recommendations for the next revision of ALTAI, i.e., life-cycle
variants, domain-specific adaptations, and removed redundancy.
