Certified to Drive: A Policy Proposal for Mandatory Training on Semi-Automated Vehicles

According to the Society of Automotive Engineers (SAE) J3016 standard, Advanced Driver Assistance Systems (ADAS) refer to a suite of technologies that automate specific driving tasks (such as acceleration, braking, and steering) while still requiring different levels of active driver oversight. While nearly 92.7% of new U.S. vehicles now include at least one automated driving feature, the transformative potential lies in the integration of advanced systems—specifically, ADAS Level 2. While these systems promise enhanced safety and efficiency, they have also created a significant knowledge gap. Drivers often lack the necessary training to understand system limitations and intervene effectively, leading to accidents and liability issues that undermine the benefits of automation. This paper highlights the urgent need for policies to address this gap. Although the Boeing 737 Max incidents resulted from a mix of design shortcomings, regulatory oversights, and systemic issues, they also highlight a critical gap in pilot training on managing automated systems during abnormal conditions. This example demonstrates the urgent need for focused, concise training on human-automation interaction—a need that is equally critical for operators of Level 2 ADAS-equipped vehicles, as discussed in detail later in this article. The lack of structured education for semi-automated vehicle (SAV) operators mirrors similar risks in other industries, where formal training is critical for safe operation. Two policy recommendations are proposed. First, governments should create concise, official resources in accessible and official format to educate drivers on system capabilities and limitations. Second, mandatory training and certification programs should be introduced, combining theoretical and hands-on components to prepare drivers for real-world scenarios. These measures will improve driver understanding, reduce misuse, and foster public trust in semi-automated vehicle technologies. By addressing the knowledge gap, policymakers can ensure a safer, more responsible transition to automation, maximizing its benefits while minimizing risks to public safety.