Moral decision making frameworks for artificial intelligence
Publication
, Conference
Conitzer, V; Sinnott-Armstrong, W; Borg, JS; Deng, Y; Kramer, M
Published in: Aaai Workshop Technical Report
January 1, 2017
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.
Duke Scholars
Published In
Aaai Workshop Technical Report
Publication Date
January 1, 2017
Volume
WS-17-01 - WS-17-15
Start / End Page
105 / 109
Citation
APA
Chicago
ICMJE
MLA
NLM
Conitzer, V., Sinnott-Armstrong, W., Borg, J. S., Deng, Y., & Kramer, M. (2017). Moral decision making frameworks for artificial intelligence. In Aaai Workshop Technical Report (Vol. WS-17-01-WS-17-15, pp. 105–109).
Conitzer, V., W. Sinnott-Armstrong, J. S. Borg, Y. Deng, and M. Kramer. “Moral decision making frameworks for artificial intelligence.” In Aaai Workshop Technical Report, WS-17-01-WS-17-15:105–9, 2017.
Conitzer V, Sinnott-Armstrong W, Borg JS, Deng Y, Kramer M. Moral decision making frameworks for artificial intelligence. In: Aaai Workshop Technical Report. 2017. p. 105–9.
Conitzer, V., et al. “Moral decision making frameworks for artificial intelligence.” Aaai Workshop Technical Report, vol. WS-17-01-WS-17-15, 2017, pp. 105–09.
Conitzer V, Sinnott-Armstrong W, Borg JS, Deng Y, Kramer M. Moral decision making frameworks for artificial intelligence. Aaai Workshop Technical Report. 2017. p. 105–109.
Published In
Aaai Workshop Technical Report
Publication Date
January 1, 2017
Volume
WS-17-01 - WS-17-15
Start / End Page
105 / 109