HackerPapers

arXiv:1709.10242cs.AI

Intelligence Quotient and Intelligence Grade of Artificial Intelligence

Feng Liu, Yong Shi, Ying Liu

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

Although artificial intelligence is currently one of the most interesting areas in scientific research, the potential threats posed by emerging AI systems remain a source of persistent controversy. To address the issue of AI threat, this study proposes a standard intelligence model that unifies AI and human characteristics in terms of four aspects of knowledge, i.e., input, output, mastery, and creation. Using this model, we observe three challenges, namely, expanding of the von Neumann architecture; testing and ranking the intelligence quotient of naturally and artificially intelligent systems, including humans, Google, Bing, Baidu, and Siri; and finally, the dividing of artificially intelligent systems into seven grades from robots to Google Brain. Based on this, we conclude that AlphaGo belongs to the third grade.

arXiv comments
Journal reference
Annals of Data Science, June 2017, Volume 4, Issue 2, pp 179-191
DOI
doi:10.1007/s40745-017-0109-0
Subjects
cs.AIArtificial Intelligence

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Oct 2017 to Oct 2017. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.