Programming Safety Into Self-Driving Cars
aarondubrow writes Automakers have presented a vision of the future where the driver can check his or her email, chat with friends or even sleep while shuttling between home and the office. However, to AI experts, it's not clear that this vision is a realistic one. In many areas, including driving, we'll go through a long period where humans act as co-pilots or supervisors before the technology reaches full autonomy (if it ever does). In such a scenario, the car would need to communicate with drivers to alert them when they need to take over control. In cases where the driver is non-responsive, the car must be able to autonomously make the decision to safely move to the side of the road and stop. Researchers from the University of Massachusetts Amherst have developed 'fault-tolerant planning' algorithms that allow semi-autonomous machines to devise and enact a "Plan B."
If you're not aware of the level of performance of current self-driving cars, let me break it down for you. They can't stop for construction or understand rerouting from it or obey temporary signs. They can't see stoplight colors while the sun is setting anywhere near behind them. They can't drive on snow at all. They will slam on the brakes for a piece of newspaper blowing across the road or other low density objects. They think puddles are obstructions and will slam on the brakes.
They're basically deathtraps on wheels and they don't work at all plus they're illegal in several states.
So the car is travelling at 60 MPH on automatic when a situation arises that requires the car to switch to human-control ... and there might be a problem with the human not reacting correctly?
I think that the problem would be expecting the human to take control and do anything useful at that speed if the programming couldn't handle it.