How feasible is the rapid development of artificial superintelligence?

被引:7
|
作者
Sotala, Kaj [1 ]
机构
[1] Foundat Res Inst, Berlin, Germany
关键词
artificial intelligence; prediction; intelligence; limits of intelligence; artificial general intelligence; superintelligence; technological singularity; WORKING-MEMORY; INTELLIGENCE; NEUROSCIENCE; CAPACITY; SCIENCE;
D O I
10.1088/1402-4896/aa90e8
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
What kinds of fundamental limits are there in how capable artificial intelligence (AI) systems might become? Two questions in particular are of interest: (1) How much more capable could AI become relative to humans, and (2) how easily could superhuman capability be acquired? To answer these questions, we will consider the literature on human expertise and intelligence, discuss its relevance for AI, and consider how AI could improve on humans in two major aspects of thought and expertise, namely simulation and pattern recognition. We find that although there are very real limits to prediction, it seems like AI could still substantially improve on human intelligence.
引用
收藏
页数:14
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