Motivation selection methods

Motivation selection methods are attempts to prevent undesirable outcomes from artificial intelligence that involve influencing what the AI wants to do. These methods encompass direct specification, domesticity, indirect normativity, and augmentation (Bostrom 2014: 138-143). Motivation selection methods may be contrasted with capability control methods, which attempt instead to restrict what the AI can do.