Earlier quoted context omitted.
What do you mean by probabilistic? If you mean that the models takes input and outputs one or more labeled probabilities (e.g. “90% confidence the input photo is a dog, 10% confidence the input photo is a cat), then yes, I believe that many AI systems work this way. If you mean random , in the sense that the system may return different results given the exact same inputs, then in not sure if there are AI systems that…
There are. Monte Carlo methods is the keyword you're looking for. AlphaGo (Monte Carlo Tree Search) is an example of one such AI. Obviously you can set the RNG seed to be the same every time too, but even that only works if your system is wholly synchronous, which a car probably isn't. Note that I doubt Monte Carlo methods are common in the autonomous vehicle space.
I wouldn’t be surprised if Monte Carlo techniques are useful for all manner of things related to ingesting sensor data on autonomous vehicles.