Journalism and Communication at School in Order to Form Critical Citizens

Author(s):  
Simona Lamonaca

In the present era, information is too often transformed into communication of products or services, rather than carrying out its primary function of disseminating knowledge and awareness. Some elements, like artificial intelligence, are often used for these purposes. To bring education back to its original value, journalism in the classroom can help in the improvement of our human intelligence to orientate in this very complex world. A journalism workshop helps school education in the crucial role of forming aware careful users of contents, since the communication doesn't spread anymore only by written articles, but also through video-news, spots, promotional campaigns, providing a lot of information about trends, economy, and politics. Students in these classrooms learn about what it means by checking the sources, verifying rights of uses, and finally, giving news supported with facts or promote ethical-social messages. Having a knowledge based on experience helps to develop critical abilities to use them.

2021 ◽  
Author(s):  
Tahereh Saheb ◽  
Bahareh Amini

Abstract Purpose: The goal of digital marketing is to enhance strategic decision making to discover competitive and consumer behavior, and to provide early warnings of risks and opportunities. In the age of digitalization, digital marketing may be influenced with the use of cognitive technologies and also open sources of big data. The aim of this paper is to understand the impact of artificial intelligence analytics on digital marketing and the role of open big data and AI analytics competencies in this relationship.Design: A structural equation modeling of the 227 questionnaire was carried out. Findings: Our analysis shows that open big data has a significant impact on digital marketing, and AI analytical competencies moderate the impact of open big data on digital marketing. Value: Theoretically, this study extends the literature on knowledge-based view and AI analytics in digital marketing. Practically, this study broadens understandings regarding the perquisites of digital marketing through the use of cognitive technologies and open big data


Author(s):  
Robert Bogue

Purpose – This paper aims to provide an insight into the use of artificial intelligence (AI) in robotics. Design/methodology/approach – Following an introduction to AI, this paper provides an overview of the application of AI to robotics. Mobile robots are then discussed, together with the various AI techniques employed and under development. The application of the OpenCog artificial general intelligence architecture is then considered and the paper concludes with a brief discussion. Findings – This shows that many AI concepts are being applied to humanoid, mobile and other classes of robots. Significant progress has been made and many innovative AI strategies are being studied which often seek to emulate aspects of human intelligence. Much development activity is being driven by military interests but as yet, the level of intelligence exhibited by the most advanced robots is at best equivalent to that of a very young child. Several academics argue that more rapid progress will arise from a closer integration of AI and robotic research. Originality/value – This article discusses the role of AI in robotics and provides details of number of robotic developments involving a range of AI concepts.


2021 ◽  
Vol 26 ◽  
pp. 262-277
Author(s):  
Angeliki Sideraki ◽  
Athanasios Drigas

This paper examines the issue of artificial intelligence and its association with autism. More specifically, at a first level, reference is made to the concept of artificial intelligence, but also to concepts that are directly related and are an extension of it. In addition, the various areas in which the use of artificial intelligence is identified are presented, while the concept of autism and its connection to technology are also analyzed. As research progresses on artificial intelligence and the diagnosis of autism. More specifically, the role of artificial intelligence is now particularly active in diagnosing various disorders including autism. Innovative methods are involved in this process. The following is a summary of research that can help people diagnose autism more easily with the help of machine learning and other technologies. The presence of genetics plays a crucial role as through the identification of different genes of people with autism several conclusions have been drawn. Finally, there are some studies that have studied the role of artificial intelligence in the treatment and intervention of autism. These include robots with artificial intelligence, virtual reality (VR), chatbots, etc. and whether all of this is considered effective for the development and empowerment of children in areas with difficulties such as speech and socialization.


2020 ◽  
Vol 144 ◽  
pp. 58-67
Author(s):  
Vyacheslav I. Kukshev ◽  

The article considers the classification of Artificial Intelligence (AI) systems. The role of AI has increased significantly recently in all areas of life. The use of AI in public administration, in production, in medicine, in the military, in the social sphere, etc., raised a number of questions related to the definition of AI and classification of AI systems. Classification of AI is necessary to understand the role of AI in the digital economy. Classification becomes important in the context of intensive development of international standards for AI systems and knowledge-based systems (expert, neural, multi-agent, cyber-physical systems and systems based on the industrial Internet)


2021 ◽  
Vol 16 ◽  
Author(s):  
Karthik Seetharam ◽  
Sirish Shrestha ◽  
Partho P Sengupta

Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology.


Author(s):  
N. M. Saravana Kumar

Simulation of human intelligence process is made possible with the help of artificial intelligence. The learning, reasoning and self-correction properties are made possible in computer systems. Along with AI, other technologies are combined effectively in order to create remarkable applications. We apply the changing role of AI and its techniques in new educational paradigms to create a personalised teaching-learning environment. Features like recognition, pattern matching, decision making, reasoning, problem solving and so on are applied along with knowledge based system and supervised machine learning for a complete learning and assessment process.


2001 ◽  
Vol 11 (PR11) ◽  
pp. Pr11-47-Pr11-52
Author(s):  
V. M. Pan ◽  
V. S. Flis ◽  
V. A. Komashko ◽  
O. G. Plys ◽  
C. G. Tretiatchenko ◽  
...  

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.


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