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Self-Regulating Artificial General Intelligence / Joshua S. Gans.
Author
Gans, Joshua S.
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Format
Book
Language
English
Published/​Created
Cambridge, Mass. National Bureau of Economic Research 2018.
Description
1 online resource: illustrations (black and white);
Details
Related name
National Bureau of Economic Research
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Series
Working Paper Series (National Bureau of Economic Research) no. w24352.
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NBER working paper series no. w24352
Summary note
This paper examines the paperclip apocalypse concern for artificial general intelligence. This arises when a superintelligent AI with a simple goal (ie., producing paperclips) accumulates power so that all resources are devoted towards that goal and are unavailable for any other use. Conditions are provided under which a paper apocalypse can arise but the model also shows that, under certain architectures for recursive self-improvement of AIs, that a paperclip AI may refrain from allowing power capabilities to be developed. The reason is that such developments pose the same control problem for the AI as they do for humans (over AIs) and hence, threaten to deprive it of resources for its primary goal.
Notes
February 2018.
Source of description
Print version record
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