Robohub.org
 

Issues in regulating robocars, and the case for a light hand


by
04 March 2015



share this:

whitehouseAll over the world, people (and governments) are debating about regulations for robocars. First for testing, and then for operation. It mostly began when Google encouraged the state of Nevada to write regulations, but now it’s in full force. The topic is so hot that there is a danger that regulations might be drafted long before the shape of the first commercial deployments of the technology take place.

In the pre-history of robocars, it was common to say that it would be ages before they were legal. Then, at least in some countries, groups like Google discovered they were already legal by default, at least for testing. When the vehicle codes were written long ago, nobody thought to say “no robots.”

A few places have laws that require that certain driving activities be done by humans, but many don’t. Even so, Google and a few others sought to make the regulatory status of the cars more clear. Soon the state of Nevada passed a bill requiring their DMV to write regulations. Several other states passed similar laws. The first regulations mostly defined testing, and some are leading to covering operation — first under human supervision, eventually without a person in the car.

At the same time, the National Highway Transportation Safety Agency (NHTSA,) which writes the safety standards for car manufacturers — the rules that demand seatbelts, airbags and electronic stability control — were encouraged to see what their role should be. They published a document defining a taxonomy of vehicles and suggestions on how to regulate them.

The first reaction of many is, “of course.” It’s common to think that it would be strange to put these vehicles on the road without the government certifying them and laying out standards for how they should work. Contrary to that intuition, that is not the way government regulation of automotive technologies has worked, nor the way it should work. And that turns out to be even more true for robocars than the technologies that came before them.

To address some of these issues, I have prepared a new special article on the issues around regulating robocars. The article concludes that in spite of a frequent claim that we want to regulate and standarize even before the technology has been out in the market for a while, this is in fact both a highly unusual approach, and possibly even a dangerous approach. In summary:

  • Regulations are normally developed long after technologies are in the market, not before they are developed. That’s true for almost all automotive safety technologies, like seat belts, airbags, anti-lock brakes, crumple zones, and more.
  • When regulations do come, their usual purpose is not to govern how to build the safety technologies, but to demand that the car makers that are not including them start including them.
  • Many of the driving-related technologies — adaptive cruise control, lane departure warning and lane-keeping, automatic parking, forward collision warning and avoidance and blindspot warning — all remain unregulated today.
  • Self-certification by the vendor is the norm, not the exception. While some things (like crash tests) are done by the government or insurance labs, most testing and certification is done by vendors.
  • Tort law already provides a strong legal force for safety, and in fact it may already be too strong rather than not strong enough.
  • Even the builders of robocars have not yet figured out precisely how they will attain and test their safety goals, so we are at least a decade out from regulators figuring that out. The technology is changing so fast they may never catch up, requiring other solutions.
  • We need to protect the ability of small players and tinkerers to innovate, even with dangerous technology like cars — just as we always have.

The full article is available on robocars.com: Regulating Robocar Safety: An examination of the issues around regulating robocar safety and the case for a very light touch.



tags: , , , , , ,


Brad Templeton, Robocars.com is an EFF board member, Singularity U faculty, a self-driving car consultant, and entrepreneur.
Brad Templeton, Robocars.com is an EFF board member, Singularity U faculty, a self-driving car consultant, and entrepreneur.


Subscribe to Robohub newsletter on substack



Related posts :

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.

Resource-sharing boosts robotic resilience

  31 Mar 2026
When a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems.

Robot Talk Episode 150 – House building robots, with Vikas Enti

  27 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Vikas Enti from Reframe Systems about using robotics and automation to build climate-resilient, high-performance homes.

A history of RoboCup with Manuela Veloso

and   24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Robot Talk Episode 149 – Robot safety and security, with Krystal Mattich

  20 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Krystal Mattich from Brain Corp about trustworthy autonomous robots in public spaces.

A multi-armed robot for assisting with agricultural tasks

  18 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence