Self-driving cars will allow you to choose who survives if the accident happens

In the future, you will be able to choose to sacrifice your life for others in the car to survive, or vice versa!

According to NewScientist, when people drive, instinct will be what helps people react to dangerous situations, and if an incident occurs, the error is definitely in the driver. However, on a self-driving car, the code is what determines everything. Therefore, the issue of who is responsible in accidents, manufacturers or owners, is a controversial issue.

A study in 2015 found that most respondents believe that self-driving cars will have to make decisions to minimize the damage in collisions, even if that means it will have to sacrifice count. Network of people sitting in cars in certain situations. However, these people also said they never accepted to sit in a car that was always ready to "kill" them when needed!

Picture 1 of Self-driving cars will allow you to choose who survives if the accident happens
It is too early to know if this is a good solution.

Guiseppe Contissa, a researcher at the University of Bologna, Italy - and his colleagues wanted to find out what would happen if the right to control the vehicle and to take responsibility for the action that the vehicle chose to be placed on the driver . Therefore, they designed a switch to switch driving mode between "selfless" (protecting others), "selfish" (protecting the driver itself) and "fair". This button will let the driver know the value that the driver poses for his own life compared to those in the car, from which the car will automatically calculate and give directions in case of failure. out of trouble.

However, this idea has many limitations.

  1. First , if the driver has too much decision-making power in a self-driving car collision, they will definitely choose to protect themselves to the maximum.
  2. Secondly , there will be many people who do not dare to make the "ethical" decisions above, so they will choose the "fair" mode and thus, the problem stated at the beginning of the article will still not be to handle.

"It is too early to know if this is a good solution," said Awad, the team leader. The research team is still looking for ideas to solve the problem.