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Hybrid Human-Artificial Intelligence

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2020Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:Computer, volume 53, pages 14-17 (issn: 0018-9162, eissn: 1558-0814, Copyright policy )
Authors: Liming Chen 0001; Huansheng Ning; Chris D. Nugent; Zhiwen Yu 0001;

doi: 10.1109/mc.2020.2997573

Hybrid Human-Artificial Intelligence

Abstract

The articles in this special section focus on developments in the area of hybrid human artificial intelligence. Humans want machines to be intelligent, with the machines serving them as much as possible. Yet they are concerned that these machines with full autonomy may one day outperform them and become too powerful to be controlled. The blend of desire and fear has led to this emerging futuristic research area, hybrid human-artificial intelligence.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
bronze