[1]CHEN Xiaoping.Criteria of closeness and strong closeness in artificial intelligence——limits, application conditions and ethical risks of existing technologies[J].CAAI Transactions on Intelligent Systems,2020,15(1):114-120.[doi:10.11992/tis.202001001]
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Criteria of closeness and strong closeness in artificial intelligence——limits, application conditions and ethical risks of existing technologies

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 15 Number of periods: 2020 1 Page number: 114-120 Column: 学术论文—人工智能基础 Public date: 2020-01-05
Title:
Criteria of closeness and strong closeness in artificial intelligence——limits, application conditions and ethical risks of existing technologies
Author(s):
CHEN Xiaoping
School of computer science and technology, University of Science and Technology of China, Hefei 230026, China
Keywords:
artificial intelligence; closeness; strong-closeness; knowledge; grounding; decision-theoretical planning; reasoning; deep learning
CLC:
TP18
DOI:
10.11992/tis.202001001
Abstract:
Criteria of closeness and strong closeness in artificial intelligence (AI) are proposed in this paper. The first criterion suggests that knowledge in AI takes conceptual root in a kind of pragmatic correspondence, called consummated grounding, from a model to the scenario that the model is expected to represent. Consummated grounding is critical to advancing both development and explanation of intelligent systems. Under the condition of the second criterion, which aims at real-world applications, existing AI technology surpasses human beings in the same kind of ability, can be successfully applied to realize a lot of projects in current industries, and will not be out of control in itself. The criteria also set up a further conceptual basis for developing AI technology competent to deal with open scenarios.
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