Phil & Junko on AV Safety

Defining Safe Enough for AVs

52 min · 23 de may de 2026
Portada del episodio Defining Safe Enough for AVs

Descripción

This week Phil & Junko talk about what it means for Autonomous Vehicle to be safe enough. At a high level, in addition to net statistical safety, acceptable safety also requires an absence of risk hot spots. It’s not about perfection; it’s about acceptably safe: * As safe as a human driver on a net statistical basis (accounting for which car, which driver, which road, etc.) * Avoiding reckless driving * Avoiding shifting risk onto vulnerable populations * Absence of unreasonable risk (AUR) * Standards conformance * Avoiding negative externalities (e.g., not blocking fire trucks) * Accountability for breaking road rules * Meeting all stakeholder safety requirements A single-metric approach does not work due to multiple stakeholder concerns. A multi-constraint satisfaction approach is the way to go. The bottom line: acceptable safety is meeting the threshold requirements of all your stakeholders. This episode is a follow-on to Phil’s written piece on How Safe Is Really “Safe Enough” for Autonomous Vehicles? [https://avsafety.substack.com/p/how-safe-is-really-safe-enough-for]

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5 episodios

episode Edge cases will always need remote operators (Phil & Junko on AV Safety ep05) artwork

Edge cases will always need remote operators (Phil & Junko on AV Safety ep05)

This week Phil & Junko talk about what an edge case is, and why autonomous vehicles will need the help of remote human assistants to resolve edge case issues.As robotaxi operations have begun to scale, the public is seeing more incidents in which autonomous vehicles caught in edge cases struggle to get out of the bad situation. The conversation covers:- What is an edge case?- What humans perceive as edge cases can be different from what machines are struggling with.- Edge cases being rare doesn’t mean they don’t matter. The risk is not about frequency: it’s about frequency and severity.- Edge cases can also be a combination of ‘normal’ things with special meaning that autonomous vehicles have never seen or been trained before.- Robotaxi companies can get more data, but more data is never going to get rid of enough of the edge cases.- Just as edge cases won’t go away, remote assistants — who are there to handle the edge cases encountered by robotaxis —will not go away, either.- The AV industry is at a critical juncture, as it is being tested how well their autonomous vehicles are prepared to handle edge cases.

6 de jun de 202652 min
episode Defining Safe Enough for AVs artwork

Defining Safe Enough for AVs

This week Phil & Junko talk about what it means for Autonomous Vehicle to be safe enough. At a high level, in addition to net statistical safety, acceptable safety also requires an absence of risk hot spots. It’s not about perfection; it’s about acceptably safe: * As safe as a human driver on a net statistical basis (accounting for which car, which driver, which road, etc.) * Avoiding reckless driving * Avoiding shifting risk onto vulnerable populations * Absence of unreasonable risk (AUR) * Standards conformance * Avoiding negative externalities (e.g., not blocking fire trucks) * Accountability for breaking road rules * Meeting all stakeholder safety requirements A single-metric approach does not work due to multiple stakeholder concerns. A multi-constraint satisfaction approach is the way to go. The bottom line: acceptable safety is meeting the threshold requirements of all your stakeholders. This episode is a follow-on to Phil’s written piece on How Safe Is Really “Safe Enough” for Autonomous Vehicles? [https://avsafety.substack.com/p/how-safe-is-really-safe-enough-for]

23 de may de 202652 min