scholarly journals Software Engineering and Artificial Intelligence: Re-Enhancing the Lifecycle

2021 ◽  
Author(s):  
Sabeer Saeed ◽  
Asaf Varol
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Basic Component ◽  
Engineering Industry ◽  
Public Confidence ◽  
The Public ◽  
Analysis And Design ◽  
Development Costs ◽  
Computing Industry ◽  
Artificial Intelligence Systems

As automation is changing everything in today’s world, there is an urgent need for artificial intelligence, the basic component of today’s automation and innovation to have standards for software engineering for analysis and design before it is synthesized to avoid disaster. Artificial intelligence software can make development costs and time easier for programmers. There is a probability that society may reject artificial intelligence unless a trustworthy standard in software engineering is created to make them safe. For society to have more confidence in artificial intelligence applications or systems, researchers and practitioners in computing industry need to work not only on the cross-section of artificial intelligence and software engineering, but also on software theory that can serve as a universal framework for software development, most especially in artificial intelligence systems. This paper seeks to(a) encourage the development of standards in artificial intelligence that will immensely contribute to the development of software engineering industry considering the fact that artificial intelligence is one of the leading technologies driving innovation worldwide (b) Propose the need for professional bodies from philosophy, law, medicine, engineering, government, international community (such as NATO, UN), and science and technology bodies to develop a standardized framework on how AI can work in the future that can guarantee safety to the public among others. These standards will boost public confidence and guarantee acceptance of artificial intelligence applications or systems by both the end-users and the general public.

scholarly journals Population health AI researchers’ perceptions of the public portrayal of AI: A pilot study

2020 ◽  
pp. 096366252096549
Author(s):  
Gabrielle Samuel ◽  
Heilien Diedericks ◽  
Gemma Derrick
Keyword(s):  
Artificial Intelligence ◽  
Population Health ◽  
Scientific Practice ◽  
Media Analysis ◽  
The Public ◽  
Canadian Population ◽  
The Media ◽  
Epistemic Modesty ◽  
Artificial Intelligence Systems ◽  
Research And Policy

This article reports how 18 UK and Canadian population health artificial intelligence researchers in Higher Education Institutions perceive the use of artificial intelligence systems in their research, and how this compares with their perceptions about the media portrayal of artificial intelligence systems. This is triangulated with a small scoping analysis of how UK and Canadian news articles portray artificial intelligence systems associated with health research and care. Interviewees had concerns about what they perceived as sensationalist reporting of artificial intelligence systems – a finding reflected in the media analysis. In line with Pickersgill’s concept of ‘epistemic modesty’, they considered artificial intelligence systems better perceived as non-exceptionalist methodological tools that were uncertain and unexciting. Adopting ‘epistemic modesty’ was sometimes hindered by stakeholders to whom the research is disseminated, who may be less interested in hearing about the uncertainties of scientific practice, having implications on both research and policy.

Introduction to the Objects Approach in Software

2011 ◽  
pp. 1-12
Author(s):  
Peretz Shoval
Keyword(s):  
Artificial Intelligence ◽  
Information Systems ◽  
Programming Languages ◽  
Operating Systems ◽  
Object Oriented ◽  
Main Field ◽  
Analysis And Design ◽  
Development Costs ◽  
Graphical Interfaces

The term “object oriented” spread in the last decade and a half, throughout many fields of computing, including the analysis and design of information systems (IS). The use of the OO approach began in the early 1970s in fields such as computers architecture, operating systems, and artificial intelligence. But the main field to which the approach penetrated was programming languages, beginning with Simula and then with Smalltalk. Some years passed by until the approach became popular in the programming field. Reasons for the vigorous penetration of the approach include the emergence of the windows-based graphical interfaces technology, the desire to economize development costs by reusing existing software, and the transition from centralized computing to distributed- and Internet-based computing. As aforesaid, the approach penetrated into other fields of computing due to its success in the field of programming, including the field of analysis and design of IS.

The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering

2021 ◽  
Vol 46 (1) ◽  
pp. 23-24
Author(s):  
Shin Yoo ◽  
Aldeida Aleti ◽  
Burak Turhan ◽  
Leandro L. Minku ◽  
Andriy Miranskyy ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Distribution Systems ◽  
State Of The Art ◽  
International Workshop ◽  
Transport Systems ◽  
Medical Applications ◽  
Safety Critical ◽  
Software Production ◽  
Development Costs

The International Workshop on Realizing Arti cial Intelligence Synergies in Software Engineering (RAISE) aims to present the state of the art in the crossover between Software Engineering and Arti cial Intelligence. This workshop explored not only the appli- cation of AI techniques to SE problems but also the application of SE techniques to AI problems. Software has become critical for realizing functions central to our society. For example, software is essential for nancial and transport systems, energy generation and distribution systems, and safety-critical medical applications. Software development costs trillions of dollars each year yet, still, many of our software engineering methods remain mostly man- ual. If we can improve software production by smarter AI-based methods, even by small margins, then this would improve a crit- ical component of the international infrastructure, while freeing up tens of billions of dollars for other tasks.

«INFODEMIA» AND SOCIAL NETWORKS: THE ACTUAL OBJECTS AND OBJECTIVES OF THE STUDY

2020 ◽  
pp. 535-544
Author(s):  
Александр Григорьевич Остапенко ◽  
Руслан Валентинович Сорокин ◽  
Сергей Викторович Лихобабин ◽  
Артём Олегович Ткаченко ◽  
Андрей Николаевич Бартенев ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Goal Setting ◽  
Traffic Control ◽  
The Internet ◽  
Global Epidemic ◽  
The Public ◽  
Informational Influence ◽  
Internet Users ◽  
Artificial Intelligence Systems

В данной статье затрагивается тема мировой инфодемии в контексте информационного влияния и давления на общественность, во многом образованную пользователями Интернет-пространства. В работе ведется рассуждение об актуальности исследования социальных Интернет-сайтов и процессов распространения в них потенциально опасных контентов. Описаны общие характеристики целеполагания исследований в различных областях таких как: суверенизация информационного пространства, анонимности и ответственности интернет-пользователей, контроля трафика, инфодемии, применения систем искусственного интеллекта в Интернет-пространстве. This article touches upon the topic of the global epidemic in the context of informational influence and pressure on the public, who are directly users of the Internet space. The paper discusses the interest in researching social Internet sites and the processes of distributing potentially dangerous content therein. The general characteristics of the goal-setting of research in various fields are described, such as the sovereignization of the information space, the anonymity and responsibility of Internet users, traffic control, infodemics, the use of artificial intelligence systems in the Internet space.

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.

A successful person, society and civic activism

2020 ◽  
Vol 16 (10) ◽  
pp. 1800-1816
Author(s):  
G.B. Kozyreva ◽  
T.V. Morozova ◽  
R.V. Belaya
Keyword(s):  
Social Capital ◽  
Political Life ◽  
Public Confidence ◽  
Russian Society ◽  
The Public ◽  
Civic Activism ◽  
The Social ◽  
Human And Social Capital ◽  
Person Model ◽  
Social Disparity

Subject. The article provides considerations on the formation and development of a successful person model in the modern Russian society. Objectives. The study is an attempt to model a successful person in the Russian society, when the ideological subsystem of the institutional matrix is changing. Methods. The study relies upon the theory of institutional matrices by S. Kirdina, theories of human and social capital. We focus on the assumption viewing a person as a carrier of social capital, which conveys a success, socio-economic position, social status, civic activism, doing good to your family and the public, confidence in people and association with your region. The empirical framework comprises data of the sociological survey of the Russian population in 2018. The data were processed through the factor analysis. Results. We devised a model of a successful person in today's Russian society, which reveals that a success, first of all, depends on the economic wellbeing and has little relation to civic activism. The potential involvement (intention, possibility, preparedness) in the social and political life significantly dominates the real engagement of people. The success has a frail correlation with constituents of the social capital, such as confidence in people and doing good to the public. Conclusions and Relevance. Based on the socio-economic wellbeing, that is consumption, the existing model of a successful person proves to be ineffective. The sustainability of socio-economic wellbeing seriously contributes to the social disparity of opportunities, which drive a contemporary Russian to a success in life.

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