A new rubric for evaluating explainable AI (XAI) methods in autonomous driving safety emphasizes the need for evidence-based criteria over popular output types. The study highlights a significant gap in current XAI methods' ability to meet safety standards, suggesting a shift towards causal XAI for better compliance.