As self driving cars gain popularity, one of the biggest questions regulators have to face today is;
“who is at fault in a self driving car accident?”
Currently when an accident occurs, the insurance company of the at-fault driver covers the property and bodily damages sustained by the victim.
At the moment however, when a computer is driving the vehicle, liability remains a significant grey area.
It might not seem relevant, but a Business Insider report puts the estimated number of self driving cars on the road at 10 million by 2020.
In addition to Google, Mercedes, BMW, and Tesla all have released some type of self driving vehicle in the past couple of years.
Who bears liability in an accident?
In the interview Mayerson mentioned that, “In theory, self-driving cars would not create negligence liability for the passenger, non-driver, and owner of the car.”
Based on the previous model, auto insurance premiums should plummet for the average driver since when it comes to car accidents, liability for property damage is a fraction of what might amount from hospital bills and physical injuries.
So who bears the burden of liability then in the case of an accident? In the previously referenced Huffington Post article, Mayerson suggests that:
“one model would be to have the car manufacturer bear all the liability and impose that liability simply based on the autonomous car’s being a substantial cause of the injury.”
Put simply, if the accident were due to a computer malfunction, the manufacturer would have to cover the cost of damages.
While this should result in lower auto insurance premiums for most drivers, the cost of self driving cars will likely rise to account for the increased risk.
The Los Angeles Times has a slightly different take on the issue. They note that over the past few years insurance premiums have been rising in recent years due to the number of crashes that reflect more miles being driven, higher car sales, and an increase in distracted driving.
Even though innovations such as automated emergency braking, blind spot alerts, and lane departure warnings are helping to make driving safer, they haven’t resulted in immediate premium reductions.
In their article, the Times spoke with California Insurance Commissioner Dave Jones who said, “So far, we haven’t seen significant changes in claims or experience that would warrant changes in [customer] rates,”
Eight key elements for transformation
According to a report by KPMG, in order for autonomous vehicles to go mainstream, it won’t happen as part of a singular change. Rather it’s going to require a combination of eight elements which are discussed below.
- Integrity of technology; Today the fundamental technologies for driver autonomy exist. The key to success for the future is having them converge into something more advanced.
- Capability accessibility: While traditional manufacturers have vehicles which are incrementally becoming autonomous, high tech companies such as Google, Tesla, and Apple are likely going to leapfrog into self driving vehicles.
- Regulatory permission: As of earlier this year, sixteen states (including the District of Columbia) have introduced bills related to self-driving vehicles. The NHTSA is on the verge of providing a full endorsement of autonomous vehicles.
- Infrastructure availability: At the moment autonomous vehicles are able to use existing roads without any upfront investment required. Overtime however, roads will likely evolve to better accommodate autonomous vehicles.
- Legal responsibility: As the vehicle becomes more advanced determining who is at fault in an accident needs to be clarified. The regulations will need to be resolved in parallel alongside autonomous technology development.
- Consumer adoption: Once consumers understand the benefits of self driving vehicles, they’re more likely to use them. The biggest challenge for manufacturers is addressing the value propositions of each customer.
- Mobility services: Now that ride-hailing is a standard option for urban drivers, this new model of vehicle usage are going to carry over to autonomous vehicles.
- Data management: Autonomous driving requires a significant amount of data which is going to grow exponentially as these vehicles gain popularity.
As far as the estimated timetable for the mainstream adoption of autonomous cars, with vehicle to vehicle communication – KPMG will potentially issue their mandate in 2018. The estimated implementation is approximately 2022.