The biggest difficulty in self-driving cars is not batteries, fearful drivers, or expensive sensors, but what's known as the "trolley problem," a debate over who is to die and who saved should an autonomously driven vehicle end up with such a horrible choice on the road. And short of that, how will robotic vehicles navigate the countless other ethical decisions, small and large, executed by drivers as a matter of course?
In a paper, researchers at Carnegie Mellon and MIT propose a model that uses artificial intelligence and crowd sourcing to automate ethical decisions in self-driving cars. "In an emergency, how do you prioritize?" Ariel Procaccia, a professor at Carnegie Mellon, tells Axios.