There is nothing hard about valuing gnome vs child, if you can identify them. Computers can evaluate huge problem spaces in milliseconds. The hard part is the p

There is nothing hard about valuing gnome vs child, if you can identify them. Computers can evaluate huge problem spaces in milliseconds. The hard part is the perception: identifying the child and the gnome. Deep learning has allowed us to make gigantic leaps in the quality of perception but there is a long way to go in uncontrolled environments. I also think people incorrectly think that the moral choice dilemmas that self-driving cars will face are somehow the difficult part. What will happen is that we will provide valuation functions that are somewhat close to our intuitive collective understanding of value of life in different forms. Computers use them to evaluate these situations and we as a society just adapt to the new ethics of the AI age.