Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems

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