4 ms·
In my experience working with critical hardware and software with sensors, I believe this is pretty much settled, because those components are fixed and well k
by pritovido 6y ago
In my experience working with critical hardware and software with sensors, I believe this is pretty much settled, because those components are fixed and well known.
We know with precision how to maintain those, the rate of failure and audit or overhaul times. In fact, right know sensors could "call home" when there is a problem.
The heart of the matter is what is not known, like the wild board getting in the road, or a cyclist that appears from the side, or the road is wet, there is ice or snow on the road.
Usually what happens for accidents is all of the above, like it is dark(you don't see cars but specular reflections of lights), it is wet, there is ice and snow and a cyclist appears out of nowhere.
Those things are extremely unknown and hard to model, and AI does not work there.
- noodlesoups 6y ago>Those things are extremely unknown and hard to model, and AI does not work there. That might be because they're problems for _any_ thing. Can't really apply a solution to a problem with what hasn't been solved in the first place. No human is doing any better either, so it'd be unfair to expect autonomous vehicles to do miracles either. For some reason it's fine that Bob just killed a family of four, but unfathomable for a thinking rock to make the slightest error.
- dredds 6y agoBob was having yet another bad day, and everyone knows Bob drives like he owns the road, and is really just a ticking time bomb. Bob doesn't heed any of the caution his colleagues have, nor care. That clever rock had many of the brightest geniuses on the planet working around the clock for decades steadily making it less prone to calamity. We entrust our lives and family on that proverbial magic carpet ride made by unseen digital gods. It's almost a religious level of faith and expectation. They thought rock-et science was hard...