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No AI Is an Island: The Case for Teaming Intelligence
by
Vera, Alonso H.
, Johnson, Matthew
in
Analysis
/ Artificial intelligence
/ Attention
/ Automation
/ Autonomous vehicles
/ Cybernetics
/ Duets
/ Efficiency
/ Forecasts and trends
/ Human performance
/ Human-computer interaction
/ Human-machine systems
/ Innovations
/ Intelligence
/ Intelligent systems
/ Knowledge
/ Market trend/market analysis
/ State of the art
/ Success
/ Technology
/ Technology and society
2019
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No AI Is an Island: The Case for Teaming Intelligence
by
Vera, Alonso H.
, Johnson, Matthew
in
Analysis
/ Artificial intelligence
/ Attention
/ Automation
/ Autonomous vehicles
/ Cybernetics
/ Duets
/ Efficiency
/ Forecasts and trends
/ Human performance
/ Human-computer interaction
/ Human-machine systems
/ Innovations
/ Intelligence
/ Intelligent systems
/ Knowledge
/ Market trend/market analysis
/ State of the art
/ Success
/ Technology
/ Technology and society
2019
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Do you wish to request the book?
No AI Is an Island: The Case for Teaming Intelligence
by
Vera, Alonso H.
, Johnson, Matthew
in
Analysis
/ Artificial intelligence
/ Attention
/ Automation
/ Autonomous vehicles
/ Cybernetics
/ Duets
/ Efficiency
/ Forecasts and trends
/ Human performance
/ Human-computer interaction
/ Human-machine systems
/ Innovations
/ Intelligence
/ Intelligent systems
/ Knowledge
/ Market trend/market analysis
/ State of the art
/ Success
/ Technology
/ Technology and society
2019
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Journal Article
No AI Is an Island: The Case for Teaming Intelligence
2019
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Overview
The purpose of this article is to draw attention to an aspect of intelligence that has not yet received significant attention from the AI community, but that plays a crucial role in a technology's effectiveness in the world, namely teaming intelligence. We propose that Al will reach its full potential only if, as part of its intelligence, it also has enough teaming intelligence to work well with people. Although seemingly counterintuitive, the more intelligent the technological system, the greater the need for collaborative skills. This paper will argue why teaming intelligence is important to AI, provide a general structure for AI researchers to use in developing intelligent systems that team well, assess the current state of the art and, in doing so, suggest a path forward for future AI systems. This is not a call to develop a new capability, but rather, an approach to what AI capabilities should be built, and how, so as to imbue intelligent systems with teaming competence.
Publisher
American Association for Artificial Intelligence,John Wiley & Sons, Inc
Subject
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