Given that a 16 or 90 year old behind the wheel is statistically more likely to have an accident than a 40 year old...Why wouldn't any sufficiently sophisticated self-driving algorithm be able to make the same statistical data-based conclusion/reaction?
Not going to happen tomorrow but in 20 years? 30 years?
Could see a by then geriatric Musk offering it as an extra add-on "bad driver stereotype" package.
basically multiple models for different types of real world objects.
Like when a car has "jackass mode" the other one needs to recognize that car as such. Kind of how we stereotype tainted windows, chrome wheels and AMG lables on the back of a car.
In a "perfect ai data world" the car could query the license plate, compare its actions to previous actions and devise a score just for that car. But it can't do that and hopefully never will, so what remains is a quick computation of the objects in your sourrounding, henceforth a - lot - more computational power
Just think of the times you gladly give away your right of way
Regardless this is an error margin and reactions speed issue ? It’s not like if the car can’t abort if the error margin keeps shrinking
What i mean by that is that when i am driving, i have to take into account the people around me, their vehicle capabilities and more.
For instance you are not going to overtake the car to your right, if you see in your side mirror that there is a junior in a blackened out beamer pulling up in high speed. You will prepare. The AI just sees another car on the right and expects it to behave "normally"
Its either that, or they all communicate intent over wireless tech to each other.