Site icon CleanTechnica

Google Self-Driving Cars Now Considered Drivers By NHTSA


Support CleanTechnica's work through a Substack subscription or on Stripe.

In a landmark ruling, the National Highway Transportation Safety Administration (NHTSA) recently determined that Google’s Self-Driving Car Artificial Intelligence is now considered to be the “driver” of some of the first autonomous vehicles on the roads, The Guardian shares.

The official interpretation of the definition of a “driver” came in the form of a letter from the NHTSA in response to an inquiry made by Google as part of the Self-Driving Vehicle project and contains quite a few interesting nuggets, starting with an admission that the current standards are no longer sufficient:

“As self-driving technology moves beyond what was envisioned at the time when standards were issued, NHTSA may not be able to use the same kinds of test procedures for determining compliance.”

To arrive at the final interpretation, Google was pushing to understand how the current Federal Motor Vehicle Safety Standards (FMVSS) that govern the nuances of driving to ensure safety would be applied to Self-Driving Vehicles (SDVs). Google proposed the following:

1)     NHTSA could interpret the term “driver” as meaningless for purposes of  Google’s SDV, since there is no human driver, and consider FMVSS provisions that refer to a driver as simply inapplicable to Google’s vehicle design;

2)     NHTSA could interpret “driver” and “operator” as referring to the SDS; or

3)     NHTSA could interpret “driver’s position” or “driver’s designated seating position” as referring to the left front outboard seating position, regardless of whether the occupant of that position is able to control the vehicle’s operation or movements.

These definitions are especially relevant for Google, as it has taken an approach to self-driving vehicles that removes the typical user inputs that allow an occupant to drive the vehicle. You heard right — Google’s SDVs do not have steering wheels, brakes, or accelerators, leaving all of that to the car. This type of hard cutover to future tech makes sense, but does not allow for any transition period to autonomous driving, instead embracing the technology and optimistically leaning into the future.

Before you run off looking for a Google Car dealer or car service near you, it is important to realize that there is a key sticking point in the document — this definition is contingent upon achieving “Level 4” autonomous driving capability. The NHTSA defines that as (link to source PDF):

Level 4 – Full Self-Driving Automation (Level 4): The vehicle is designed to perform all safety-critical driving functions and monitor roadway conditions for an entire trip. Such a design anticipates that the driver will provide destination or navigation input, but is not expected to be available for control at any time during the trip. This includes both occupied and unoccupied vehicles. By design, safe operation rests solely on the automated vehicle system.”

Ironically, this definition conflicts with the updated interpretation of “driver,” stating that the driver will provide the destination. 🙂 An additional caveat in the interpretation was that the NHTSA would evaluate the software to ensure that it was sufficient to provide safety to the occupants, to other drivers and to the public. Considering how long it took for regulators to find the software-enabled emissions cheats that Volkswagen was just exposed for, this offers little comfort, especially when the SDVs are being programmed by the best and the brightest programmers in the world over at Google.

The interpretation also addresses and/or touches on many of the subtler points related to autonomous driving:

This ruling is especially interesting, as it shifts the burden of liability from the vehicle owner or perhaps the occupant being carted around in a fleet vehicle… to the vehicle manufacturer. A 2014 study on the impacts of autonomous driving by Rand Corp cited (on page 111) a study by Gary Marchant and Rachel Lindor, The Coming Collision Between Autonomous Vehicles and the Liability System (2012, p. 1334), which outlined one such scenario:

“The technology is potentially doomed if there are a significant number of . . . cases, because the liability burden on the manufacturer may be prohibitive of further development. Thus, even though an autonomous vehicle may be safer overall than a conventional vehicle, it will shift the responsibility for accidents, and hence liability, from drivers to manufacturers. The shift will push the manufacturer away from the socially optimal outcome—to develop the autonomous vehicle.”

It is obvious that we are at, or fast approaching, an intersection where human drivers relinquish control of personal transportation into the hands of not a centralized human driver or conductor but, for the first time in automotive history, to artificial intelligence. These recent interpretations not only open up restrictions on manufacturers, but really open up current regulations to allow manufacturers to start playing with autonomous driving technology in the real world.

Let’s all just hope that these manufacturers put enough miles into their tech to ensure there aren’t any failures out in the real world, as it’s anyone’s guess how one accident (or even worse — a fatality) caused by autonomous driving technology would impact the progress that has been made so far.


Sign up for CleanTechnica's Weekly Substack for Zach and Scott's in-depth analyses and high level summaries, sign up for our daily newsletter, and follow us on Google News!
Advertisement
 
Have a tip for CleanTechnica? Want to advertise? Want to suggest a guest for our CleanTech Talk podcast? Contact us here.
Sign up for our daily newsletter for 15 new cleantech stories a day. Or sign up for our weekly one on top stories of the week if daily is too frequent.

CleanTechnica uses affiliate links. See our policy here.

CleanTechnica's Comment Policy


Exit mobile version