A Case for Doubling Liability Insurance for Self-Driving Cars

For accidents caused by self-driving cars, the liability cost should be double that of a similar accident caused by human error. This would push carmakers to ensure their systems are at least twice as safe as human drivers.

So far, most new automotive technologies, especially ones that control driving such as Autopilot, forward collision avoidance, lanekeeping, anti-lock brakes, stability control and adaptive cruise control, have not been covered by specific regulations. They were developed and released by vendors, sold for years or decades, and when (and if) they got specific regulations, those often took the form of “Electronic stability control is so useful, we will now require all cars to have it.” It’s worked reasonably well.

That there are no specific regulations for these things does not mean they are unregulated. There are rafts of general safety regulations on cars, and the biggest deterrent to the deployment of unsafe technology is the liability system, and the huge cost of recalls. As a result, while there are exceptions, most carmakers are safety paranoid to a rather high degree just because of liability.

At the same time they are free to experiment and develop new technologies. Specific regulations tend to come into play when it becomes clear that automakers are doing something dangerous, and that they won’t stop doing it because of the liability. In part this is because today, it’s easy to assign blame for accidents to drivers, and often harder to assign it to a manufacturing defect, or to a deliberate design decision.

The exceptions, like GM’s famous ignition switch problem, arise because of the huge cost of doing a recall for a defect that will have rare effects. Companies are afraid of having to replace parts in every car they made when they know they will fail - even fatally - just one time in a million. The one person killed or injured does not feel like one in a million, and our system pushes the car maker (and thus all customers) to bear that cost.

I wrote an article on regulating Robocar Safety in 2015, and this post expands on some of those ideas.

Robocars change some of this equation. First of all, in robocar accidents, the maker of the car (or driving system) is going to be liable by default. Nobody else really makes sense, and indeed some companies, like Volvo, Mercedes and Google, have already accepted that. Some governments are talking about declaring it but frankly it could never be any other way. Making the owner or passenger liable is technically possible, but do you want to ride in an Uber where you have to pay if it crashes for reasons having nothing to do with you?

Due to this, the fear of liability is even stronger for robocar makers.

Robocar failures will almost all be software issues. As such, once fixed, they can be deployed for free. The logistics of the “recall” will cost nothing. GM would have no reason not to send out a software update once they found a problem like the faulty ; they would be crazy not to. Instead, there is the difficult question of what to do between the time a problem is discovered and a fix has been declared safe to deploy. Shutting down the whole fleet is not a workable answer; it would kill deployment of robocars if several times a year they all stopped working.

In spite of all this history and the prospect of it getting even better, a number of people, including government regulators, think they need to start writing robocar safety regulations today, rather than 10-20 years after the cars are on the road as has been traditional. This desire is well-meaning and understandable, but it’s actually dangerous, because it will significantly slow down the deployment of safety technologies which will save many lives by making the world’s 2nd most dangerous consumer product safer.

Regulations and standards generally codify existing practice and conventional wisdom. They are very bad ideas with emerging technologies, where developers are coming up with entirely new ways to do things, and entirely new ways to be safe. The last thing you want is to tell vendors they must apply old-world thinking when they can come up with much better thinking.

Sadly, there are groups who love old-world thinking, namely the established players. Big companies start out hating regulation but eventually come to crave it, because it mandates the way they do things and understand into the law. This stops upstarts from figuring out how to do it better, and established players love that.

The fear of machines is strong, so it may be that something else needs to be done to satisfy all desires: The desire of the public to feel the government is working to keep these scary new robots from being unsafe, and the need for unconstrained innovation. I don’t desire to satisfy the need to protect old ways of doing things.

One option would be to propose a temporary rule: For accidents caused by robocar systems, the liability, if the system should be at fault, shall be double that if a similar accident were caused by driver error. (Punitive damages for willful negligence would not be governed by this rule.) We know the cost of accidents caused by humans. We all pay for it with our insurance premiums, at an average rate of about 6 cents/mile. This would double that cost, pushing vendors to make their systems at least twice as safe as the average human in order to match that insurance cost.

Victims of these accidents (including hapless passengers in the vehicles) would now be doubly compensated. Sometimes no compensation is enough, but for better or worse, we have set on values and doubling them is not a bad deal. Creators of systems would have a higher bar to reach, and the public would know it.

While doubling the cost is a high price, I think most system creators would accept this as part of the risk of a bold new venture. You expect those to cost extra as they get started. You invest to make the system sustainable.

Over time, the liability multiplier would reduce, and the rule would go away entirely. I suspect that might take about a decade. The multiplier does present a barrier to entry for small players, and we don’t want something like that around for too long.

About the Author

Brad Templeton · Brad Templeton is a developer of and commentator on self-driving cars. He writes and researches the future of automated transportation at Robocars.com.
Contact Brad Templeton: 4brad@templetons.com  ·  View More by Brad Templeton.
Follow Brad on Twitter.


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