Conference articles PUBLISHED
- Conitzer, V; Sinnott-Armstrong, W; Borg, JS; Deng, Y; Kramer, M, Moral decision making frameworks for artificial intelligence,
AAAI Workshop - Technical Report, vol. WS-17-01 - WS-17-15
(January, 2017),
pp. 105-109.
(last updated on 2024/03/28)
Abstract: 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.
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