Moral Decision Making Frameworks for Artificial Intelligence
Conitzer, Vincent (Duke University) | Sinnott-Armstrong, Walter (Duke University) | Borg, Jana Schaich (Duke University) | Deng, Yuan (Duke University) | Kramer, Max (Duke University)
The generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies in (PO)MDPs can be instantly used in a variety of applications. But such a general theory is lacking when it comes to moral decision making. For AI applications with a moral component, are we then forced to build systems based on many ad-hoc rules? In this paper we discuss possible ways to avoid this conclusion.
Feb-14-2017
- Country:
- Europe > United Kingdom
- England (0.14)
- North America > United States (0.14)
- Europe > United Kingdom
- Industry:
- Leisure & Entertainment > Games (1.00)
- Technology: