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Modeling Progress in AI
[article]
2015
arXiv
pre-print
Participants in recent discussions of AI-related issues ranging from intelligence explosion to technological unemployment have made diverse claims about the nature, pace, and drivers of progress in AI. However, these theories are rarely specified in enough detail to enable systematic evaluation of their assumptions or to extrapolate progress quantitatively, as is often done with some success in other technological domains. After reviewing relevant literatures and justifying the need for more
arXiv:1512.05849v1
fatcat:3u6wvy44mzdzfclwtqzhkkghxy