Waymo's new study refines autonomous vehicle safety comparisons by factoring in incident rates specific to location, road, and time, aiming for a true "apples-to-apples" evaluation against human driving. This approach provides crucial data for regulators to assess if robocars genuinely improve overall road safety, contrasting with past misleading claims like Tesla's exaggerated 10x safety improvement. The article stresses that robocars will always make mistakes, and public focus on individual incidents often overshadows the larger goal of reducing serious injuries. Regulators should prioritize data showing improving mistake rates and potential for significant risk reduction, even tolerating minor inconveniences. The focus should be on public interest goals, not prescriptive technical standards.
Brad Templeton is a Senior Contributor at Forbes. He specializes in the intersection of technology and transportation, with a focus on self-driving cars, mobility as a service, and artificial intelligence. His insights and expertise have also been featured in Forbes Australia and Yahoo Finance.

















