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