scholarly journals A “psychopathic” Artificial Intelligence: the possible risks of a deviating AI in Education

2019 ◽  
Vol 11 (1) ◽  
pp. 93-99
Author(s):  
Margot Zanetti ◽  
Giulia Iseppi ◽  
Francesco Peluso Cassese

Abstract This work analyses the use of artificial intelligence in education from an interdisciplinary point of view. New studies demonstrated that an AI can “deviate” and become potentially malicious, due to programmers’ biases, corrupted feeds or purposeful actions. Knowing the pervasive use of artificial intelligence systems, including in the educational environment, it seemed necessary to investigate when and how an AI in education could deviate. We started with an investigation of AI and the risks it poses, wondering if they could be applied also to educative AI. We then reviewed the increasing literature that deals with the use of technology in the classroom, and the criticism about it, referring to specific use cases. Finally, as a result, the authors formulate questions and suggestions for further research, to bridge conceptual gaps underlined by lack of research.

1970 ◽  
Vol 2 (2) ◽  
pp. 122-130
Author(s):  
Ceylin Büyüksoy ◽  
Zeynep Taşcıoğlu ◽  
İbrahim Ergin

It is fundamental for students to be aware of how they acquire knowledge from resources in the constantly evolving and changing world. The three most practical senses in learning environments are sight, hearing and touch. The VAK model categorizes these sensory methods of learning as Visual (V), Auditory (A) and Kinesthetic (K) learning styles. In the 21st century, it is inevitable to avoid the use of technology in education. Using ways and technical methods of technology in the classroom enables teachers and students to find the new conclusion of daily life problems. It helps in education to create a better educational syllabus, learning material, and future products and services. As a conclusion, we have focused on learning techniques by a specific software that we have written in collaboration with a computer programmer. By this software, the learning technique of each student will be analyzed by means of online tests to be performed. At the end of the day, the learning style of each student will be particularly understood.After the development of the software, which will last around 3 months, we will introduce the new system to the students. Having finalized the test period, we will measure the success rate of students in their lessons compared to traditional learning. In this article, the relation between the effects of differentiated education on academic achievement with the learning skills of students classified by artificial intelligence will be studied.


Author(s):  
Dmitrii V. Bakhteev

The matter under research of the legal patterns of interaction between the society and individuals and artificial intelligence technologies. Elements of the matter under research is the technological grounds for functioning of artificial intelligence systems, potential risks and negative consequences of using this technology based on the example of intellectual processing personal data and autonomous vehicles and weapon systems, ethical and legal approaches to its regulation. Bakhteev analyzes approaches to describing positions of artificial intelligence systems and whether these systems have personalities and thus certain rights. The research is based on the method of modelling that is used to describe stages of ethical-legal research of artificial intelligence technology. The author also describes different kinds of responses of the society to the development of the aforesaid technology. The main conclusions of the research is the description of stages of artificial intelligence studies, in particular, analysis of the technology itself, associated risks and responses of the society and creation of ethical and then legal grounds for regulation of this technology. The author gives the results of the analysis of possible ethical-legal models of subjectivity of artificial intelligence systems from the point of view of the need and possibility to grant them certain rights. These models include instrumental, tolerant, xenophobic and empathetic. The author also states the main provisions of the code of ethics for developer and user of artificial intelligence systems. 


2020 ◽  
pp. 198-206
Author(s):  
Henrik Køhler Simonsen ◽  
José Manuel Emiliano Bidarra de Almeida

Artificial Intelligence in Education (AIED) may be described as the next big disruptor in higher education, however, AIED still only remains “evidence of a potential” Balslev (2020). Practical experience with AI in higher education is very limited and potential pedagogical applications of AI has so far not been given much attention. The objective of this paper is to analyse and discuss concrete applications of AI to support different learning activities in higher education using the ABC Learning Design approach Young and Perovic (2016). The purpose of the paper is to contribute to research in the practical use of AI in higher education by presenting the AI Pedagogy Planner and to start the important theoretical discussion of AI applications from a pedagogical point of view. The paper is based on empirical data from nine selected cases of AI use in higher education in Portugal, the United Kingdom and Denmark, respectively. The analysis demonstrated that there is a need for new views on the pedagogical use of AI in higher education. However, the paper goes further and outlines an AI Pedagogy Planner combining six overall learning activities with eight types of AI applications.


2020 ◽  
Vol 8 (3) ◽  
pp. 49-56
Author(s):  
Vassya Likova-Arsenova

The article examines the impact of Information Technology (IT) and Artificial Intelligence (AI) in education, the joint design of working with high technology and the need for effective policy development. The use of AI in education is an important topic for teachers from both a conceptual and a practical point of view. Ethical challenges in the training and working with AI are on the agenda. It is necessary to adapt the educational programs for future pedagogues in regards to implementing AI in teaching and training.


Author(s):  
M. G. Koliada ◽  
T. I. Bugayova

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.


Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya

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.


Author(s):  
Amit Kumar Bhanja ◽  
P.C Tripathy

Innovation is the key to opportunities and growth in today’s competitive and dynamic business environment. It not only nurtures but also provides companies with unique dimensions for constant reinvention of the existing way of performance which enables and facilitates them to reach out to their prospective customers more effectively. It has been estimated by Morgan Stanley that India would have 480 million shoppers buying products online by the year 2026, a drastic increase from 60 million online shoppers in the year 2016. E-commerce companies are aggressively implementing innovative methods of marketing their product offerings using tools like digital marketing, internet of things (IoT)and artificial intelligence to name a few. This paper focuses on outlining the innovative ways of marketing that the E-Commerce sector implements in orders to increase their customer base and aims at determining the future scope of this area. A conceptual comparative study of Amazon and Flipkart helps to determine which marketing strategies are more appealing and beneficial for both the customers and companies point of view.


Sign in / Sign up

Export Citation Format

Share Document