Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) show great promise for reducing motor vehicle injuries and fatalities. Human error contributes to 94% of crashes, while the evolution of driver assistance features and full autonomy have the potential to reduce human error, overall crashes and crash severity. As these technologies are developed and implemented, however, it is crucial that the unique safety needs of children and families are prioritized. The Safe Kids in Advancing Vehicles Alliance (SKAVA) has been formed to facilitate stakeholder discussion, collaboration, and action toward enhancing the safety of children as these technologies evolve, thereby reducing the risk of injury and death. SKAVA has developed a child-focused Design Failure Mode & Effects Analysis (DFMEA) for identifying potential risks introduced in automated mobility. With the current advancement of automated vehicles and autonomous ride-share vehicles arriving in the near future, we will take an engaged deep dive into what a child-focused DFMEA would look like for this emerging technology, as well as, collecting and implementing feedback from the attendees.

1. Examine how the unique needs of children should be considered in Automated and Autonomous Vehicle design, development, and testing.
2. Describe the purpose, methodical approach, and outcomes of a Design Failure Mode & Effects Analysis.
3. Analyze potential risks to child passengers and identify their likely causes in Autonomous Ride-Share Vehicle scenarios.
4. Identify the available tools for educating about, advocating for, and the monitoring progress of child safety in and around Automated Vehicles.