Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

Are artificial intelligence systems useful in breast cancer screening programmes?

2021 ◽  
Vol 63 (3) ◽  
pp. 236-244
Author(s):  
O. Díaz ◽  
A. Rodríguez-Ruiz ◽  
A. Gubern-Mérida ◽  
R. Martí ◽  
M. Chevalier
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Artificial Intelligence Systems

scholarly journals Polanyi's revenge and AI's new romance with tacit knowledge

2021 ◽  
Vol 64 (2) ◽  
pp. 31-32
Author(s):  
Subbarao Kambhampati
Keyword(s):  
Artificial Intelligence ◽  
Tacit Knowledge ◽  
Artificial Intelligence Systems

Artificial intelligence systems need the wisdom to know when to take advice from us and when to learn from data.

PATENT PROTECTION OF SCIENTIFIC RESULTS AND ARTIFICIAL INTELLIGENCE: PROBLEMS AND CHALLENGES

2020 ◽  
pp. 36-43
Author(s):  
Daria Ponomareva ◽  
◽  
Alexander Barabashev ◽  
Keyword(s):  
Artificial Intelligence ◽  
Patent Protection ◽  
Legal Status ◽  
Legal Regulation ◽  
Scientific Activity ◽  
Foreign Law ◽  
Scientific Results ◽  
Will Force ◽  
Definition Of ◽  
Artificial Intelligence Systems

This article is devoted to the legal problems associated with the provision of patent protection for the results of scientific activities created by artificial intelligence systems. The authors explore the approaches formulated by doctrine and practice in relation to objects created by robotic systems, computer technology and AI. The problem of the relationship between patent protection of the results of scientific (scientific and technical) activities and artificial intelligence systems is becoming more and more urgent. Modern AI systems are quite capable of creating inventions that are the result of the application (use) of the cognitive (thinking) abilities of a person, that is, such inventions can be patentable. There is no doubt that the increasingly active introduction of AI systems will force national legislators to reconsider the definition of the term “inventor.” In Russian legislation, the issue of patent protection of inventions created by AI is currently not resolved. The review of the state of legal regulation of patent protection of the results of scientific activity (first of all, inventions) created by AI systems, presented in the article, indicates the absence of clear rules both in Russian and foreign law (using the example of individual jurisdictions) regarding the determination of the legal status of this kind. objects and the person who has exclusive rights in relation to them. The use of already existing legal constructions by analogy, as well as the borrowing of foreign experience, can only temporarily solve the issue of patent protection of the results of scientific activity created with the help of AI.

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