ORGANIZATIONAL INTELLIGENCE: COORDINATION OF HUMAN INTELLIGENCE AND MACHINE INTELLIGENCE

1992 ◽  
pp. 171-180
Author(s):  
Takehiko MATSUDA
Keyword(s):  
Machine Intelligence ◽  
Human Intelligence ◽  
Organizational Intelligence

The Omnipresent Computing Menace to Information Society

2011 ◽  
Vol 15 (7) ◽  
pp. 786-792 ◽  
Author(s):  
Alfons Schuster ◽  
◽  
Daniel Berrar ◽  
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Genetic Code ◽  
Information Society ◽  
Machine Intelligence ◽  
Human Intelligence ◽  
Sensitive Information ◽  
Intelligent Computing ◽  
Carbon Based

Computers have evolved from mere number crunchers to systems demonstrating an astonishing degree of sophistication, decision-making ability, and autonomy. Silicon is no longer the only substrate facilitating information processing. Despite these progresses, machine intelligence is still far from rivaling human intelligence. Nonetheless, we might be all too ready to rely on inferior agents for decision making, to give away sensitive information without fully understanding the consequences involved, or to tinker with genetic code to program carbon-based machines without fully appreciating the risks. This article explores the potentials and risks that information societies may face in the wake of current and emerging intelligent computing paradigms.

Employing artificial intelligence techniques as a mechanism for investigation, scrutiny, and detection of fake news and rumors

2021 ◽  
Vol 12 (1) ◽  
pp. 117-117
Author(s):  
Yosra Sobeih ◽  
El Taieb EL Sadek
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Machine Intelligence ◽  
The Internet ◽  
Human Intelligence ◽  
Fake News ◽  
The Media ◽  
Media Work ◽  
False News ◽  
Editorial Processing

Modern communication means have imposed many changes on the media work in the different stages of content production, starting from gathering news, visual and editorial processing, verification and verification of the truthfulness of what was stated in it until its publication, so the changes that were stimulated by modern means and technologies and artificial intelligence tools have affected all stages of news and media production, since the beginning of the emergence of rooms. Smart news that depends on human intelligence and then machine intelligence, which has become forced to keep pace with the development in communication means, which has withdrawn in the various stages of production, and perhaps the most important of which is the process of investigation and scrutiny and the detection of false news and rumors in our current era, which has become the spread of information very quickly through the Internet and websites Social media and various media platforms

Understanding the Human-Machine Interface in a Time of Change

2013 ◽  
pp. 703-719
Author(s):  
Erica Orange
Keyword(s):  
Human Evolution ◽  
Vital Role ◽  
Human Machine Interface ◽  
Machine Intelligence ◽  
Human Intelligence ◽  
Nature Of Technology ◽  
Input And Output ◽  
Power And Control ◽  
Machine Interface ◽  
And Control

The author presents an overview of how the ubiquitous nature of technology has led to a monumental shift in human evolution – a change involving language, thought, and feeling. The interrelationship between humans and technology will undoubtedly alter the way in which we define what it truly means to be human in a world of complexities. As systems, networks, and programs become more complex, our ability to interface with these machines that play such a prominent and vital role in our day-to-day lives is becoming increasingly difficult. It used to be the human was in charge; able to manipulate the machine to perform a desired outcome. But it is no longer simply about input and output measures. Now the roles are reversing, and it is becoming harder to determine where power and control ultimately resides. Consequently, our ability to manage machines and robots will become more vulnerable. The intimate connection and interoperability of human intelligence with machine intelligence, has undoubtedly impacted the human experience and our process of self-identification.

On Abstract Intelligence

2012 ◽  
pp. 14-31
Author(s):  
Yingxu Wang
Keyword(s):  
Artificial Intelligence ◽  
Formal Model ◽  
Machine Intelligence ◽  
Human Intelligence ◽  
Engineering Applications ◽  
Measurement Framework ◽  
Wide Range ◽  
Intelligence Theories ◽  
The Brain ◽  
Intelligent Quotient

Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom up. This paper describes the taxonomy and nature of intelligence. It analyzes roles of information in the evolution of human intelligence, and the needs for logical abstraction in modeling the brain and natural intelligence. A formal model of intelligence is developed known as the Generic Abstract Intelligence Mode (GAIM), which provides a foundation to explain the mechanisms of advanced natural intelligence such as thinking, learning, and inferences. A measurement framework of intelligent capability of humans and systems is comparatively studied in the forms of intelligent quotient, intelligent equivalence, and intelligent metrics. On the basis of the GAIM model and the abstract intelligence theories, the compatibility of natural and machine intelligence is revealed in order to investigate into a wide range of paradigms of abstract intelligence such as natural, artificial, machinable intelligence, and their engineering applications.

The Influence of Crowdsourcing Business Model Into Artificial Intelligence

2019 ◽  
pp. 546-556
Author(s):  
Anna Szopa
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Business Process ◽  
Machine Intelligence ◽  
Human Computation ◽  
Human Intelligence ◽  
Efficiency Of Algorithms ◽  
Large Databases ◽  
Hybrid Solutions ◽  
The Web

We observe situation in which human computation processes leverage the abilities of people via the Web to perform complex computation. In this context human intelligence is harnessed to solve computational problems that are beyond the scope of existing Artificial Intelligence (AI) algorithms. The aim of this paper is to achieve an in-depth understanding of the influence of crowdfunding business process into Artificial Intelligence and what kind of computational problems can be efficiently answered using human computation. Wisdom of crowd has been applied successfully to a range of tasks, from translating text and marking images, collecting information to building large databases and to solve problems that are difficult for machines to solve. Presented hybrid solutions will be considered as optimization- leveraging machine intelligence to help improve the accuracy and efficiency of algorithms.

The Influence of Crowdsourcing Business Model into Artificial Intelligence

Crowdsourcing ◽  
2019 ◽  
pp. 246-256
Author(s):  
Anna Szopa
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Business Process ◽  
Machine Intelligence ◽  
Human Computation ◽  
Human Intelligence ◽  
Efficiency Of Algorithms ◽  
Large Databases ◽  
Hybrid Solutions ◽  
The Web

We observe situation in which human computation processes leverage the abilities of people via the Web to perform complex computation. In this context human intelligence is harnessed to solve computational problems that are beyond the scope of existing Artificial Intelligence (AI) algorithms. The aim of this paper is to achieve an in-depth understanding of the influence of crowdfunding business process into Artificial Intelligence and what kind of computational problems can be efficiently answered using human computation. Wisdom of crowd has been applied successfully to a range of tasks, from translating text and marking images, collecting information to building large databases and to solve problems that are difficult for machines to solve. Presented hybrid solutions will be considered as optimization- leveraging machine intelligence to help improve the accuracy and efficiency of algorithms.

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