scholarly journals Creative Communication Safe Ethical Artificial Intelligence in the Era of Technological Development

2020 ◽  
Vol 8 (3) ◽  
pp. 13
Author(s):  
Evgeny Bryndin
Keyword(s):  
Artificial Intelligence ◽  
Technological Development

Prospects for Cooperation Between Russia and the Republic of Korea in the Fields of Big Data, Network and Artificial Intelligence for the Development of the Digital Economy

2021 ◽  
Vol 65 (8) ◽  
pp. 51-60
Author(s):  
Yujeong Kim
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Large Scale ◽  
Technology Development ◽  
Technological Development ◽  
Digital Economy ◽  
Republic Of Korea ◽  
Data Network ◽  
Leading Position ◽  
The Government

Today, each country has interest in digital economy and has established and implemented policies aimed at digital technology development and digital transformation for the transition to the digital economy. In particular, interest in digital technologies such as big data, 5G, and artificial intelligence, which are recognized as important factors in the digital economy, has been increasing recently, and it is a time when the role of the government for technological development and international cooperation becomes important. In addition to the overall digital economic policy, the Russian and Korean governments are also trying to improve their international competitiveness and take a leading position in the new economic order by establishing related technical and industrial policies. Moreover, Republic of Korea often refers to data, network and artificial intelligence as D∙N∙A, and has established policies in each of these areas in 2019. Russia is also establishing and implementing policies in the same field in 2019. Therefore, it is timely to find ways to expand cooperation between Russia and Republic of Korea. In particular, the years of 2020and 2021marks the 30th anniversary of diplomatic relations between the two countries, and not only large-scale events and exchange programs have prepared, but the relationship is deepening as part of the continued foreign policy of both countries – Russia’s Eastern Policy and New Northern Policy of Republic of Korea. Therefore, this paper compares and analyzes the policies of the two countries in big data, 5G, and artificial intelligence to seek long-term sustainable cooperation in the digital economy.

scholarly journals TOPICAL ISSUES OF RESEARCH AND EDUCATIONAL POLICY DEVELOPMENT IN RUSSIA

2020 ◽  
Vol 9 (02) ◽  
pp. 197-211
Author(s):  
Anna Rozentsvaig ◽  
R. A. Vdovin
Keyword(s):  
Artificial Intelligence ◽  
Educational Policy ◽  
Policy Development ◽  
Legal Status ◽  
Technological Development ◽  
Legal Regulation ◽  
Competence Development ◽  
Point Of View ◽  
Research Education ◽  
World Class

The article deals with some directions of the research and educational policy development. The correlation of approaches to the development of the strategic academic leadership program and the world-class research and educational centers establishing, centers of competence development is analyzed. Engineering knowledge and technology are at the heart of the modern economy. Engineering methods, approaches, and technologies have permeated medicine, biology, agriculture, chemistry, and the development of new materials. Understanding the directions of technological development determines the prospects for creating and using new products. further development of the issue related to the introduction of artificial intelligence technologies in the engine-building industry from the point of view of legal regulation will allow to consolidate the official legal status of such technologies at the legal level and regulate the algorithm and delimit the use of artificial intelligence technologies. The analysis of responses to the big challenges of scientific and technological development and the exhaustion of economic growth opportunities, the formation of the digital economy and the risks of reducing human resources. The development of international accreditation procedures is proposed. Keywords: Research; Education: Research and educational center: Competence development center; Artificial intelligence technologies: International accreditation.

scholarly journals Creativity and ownership: Protection of rights in musical works in the European Union from digitisation to artificial intelligence

Muzikologija ◽  
2020 ◽  
pp. 149-162
Author(s):  
Uros Cemalovic
Keyword(s):  
Artificial Intelligence ◽  
Creative Process ◽  
Service Providers ◽  
Technological Development ◽  
The European Union ◽  
Artistic Creation ◽  
Content Sharing ◽  
Eu Directive ◽  
Musical Works ◽  
Ownership Protection

Even more than intelligence, creativity is considered as a quintessentially human capacity. The same conclusion is fully applicable to the artistic creation in music sector. However, rapid technological development is constantly challenging not only the creative process as such, but also the legal instruments intended to protect the results of intellectual and artistic work. The first part of this article examines the provisions of the new EU Directive 2019/790 dedicated to online content-sharing service providers and fair remuneration of authors/performers, while its second part maps the main challenges the development of artificial intelligence imposes to the protection of rights in musical works.

scholarly journals Digital and Intelligent Public Administration: transformations in the era of artificial intelligence

2018 ◽  
Vol 18 (71) ◽  
pp. 55-87 ◽  
Author(s):  
Juan Gustavo Corvalán
Keyword(s):  
Artificial Intelligence ◽  
Public Administration ◽  
Information And Communication Technologies ◽  
Industrial Revolution ◽  
New Technologies ◽  
Technological Development ◽  
Digital Era ◽  
Challenges And Opportunities ◽  
Information And Communication ◽  
The Impact

This article addresses the impact of the digital era and it specifically refers to information and communication technologies (ICT) in Public Administration. It is based on the international approach and underscores the importance of incorporating new technologies established by the United Nations and the Organization of American States. Thereon, it highlights the Argentine Republic national approach towards ICT, and how it has moved towards a digital paradigm. It then emphasizes on the challenges and opportunities that emerge from the impact that artificial intelligence has in transforming Public Administration. Finally, it concludes that the key challenge of the Fourth Industrial Revolution is to achieve a boost towards a Digital and Intelligent Administration and government, which promotes the effectiveness of rights and an inclusive technological development that assures the digital dignity of people.  

Stepping back to move forward: Centering capital in discussions of technology and the future of work

2020 ◽  
Vol 5 (3-4) ◽  
pp. 129-133
Author(s):  
Benjamin Shestakofsky
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Technological Development ◽  
Structural Features ◽  
Robotic Systems ◽  
Future Of Work ◽  
Technological Unemployment ◽  
The Future ◽  
Constructivist Approaches ◽  
The Relationship

Some researchers have warned that advances in artificial intelligence will increasingly allow employers to substitute human workers with software and robotic systems, heralding an impending wave of technological unemployment. By attending to the particular contexts in which new technologies are developed and implemented, others have revealed that there is nothing inevitable about the future of work, and that there is instead the potential for a diversity of models for organizing the relationship between work and artificial intelligence. Although these social constructivist approaches allow researchers to identify sources of contingency in technological outcomes, they are less useful in explaining how aims and outcomes can converge across diverse settings. In this essay, I make the case that researchers of work and technology should endeavor to link the outcomes of artificial intelligence systems not only to their immediate environments but also to less visible—but nevertheless deeply influential—structural features of societies. I demonstrate the utility of this approach by elaborating on how finance capital structures technology choices in the workplace. I argue that investigating how the structure of ownership influences a firm’s technology choices can open our eyes to alternative models and politics of technological development, improving our understanding of how to make innovation work for everyone instead of allowing the benefits generated by technological change to be hoarded by a select few.

scholarly journals The Teleological Nature of Digital Aesthetics – the New Aesthetic in Advance of Artificial Intelligence

2019 ◽  
pp. 105
Author(s):  
Scott Contreras-Koterbay
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Media Studies ◽  
Technological Development ◽  
Aesthetic Experiences ◽  
Real Possibility ◽  
Digital Aesthetics ◽  
Curatorial Practice ◽  
Digital Objects ◽  
The Aesthetic

If aesthetic and teleological judgments are equally reflective, then it can be argued that such judgments can be applied concurrently to digital objects, specifically those that are products of the rapidly developing sophisticated forms of artificial intelligence (AI). Evidence of the aesthetic effects of technological development are observable in more than just experienceable objects; rooted in inscrutable machine learning, AI’s complexity is a problem when it is presented as an aesthetic authority, particularly when it comes to automated curatorial practice or as a progressively determinative aesthetic force originating in an independent agency that is internally self-consistent.Rooted in theories of the post-digital and the New Aesthetic, this paper examines emerging new forms of art and aesthetic experiences that appear to reveal these capabilities of AI. While the most advanced forms of AI barely qualify for a ‘soft’ description at this point, it appears inevitable that a ‘hard’ form of AI is in the future. Increased forms of technological automation obscure the increasingly real possibility of genuine products of the imagination and the creativity of autonomous digital agencies as independent algorithmic entities, but such obfuscation is likely to fade away under the evolutionary pressures of technological development. It’s impossible to predict the aesthetic products of AI at this stage but, if the development of AI is teleological, then it might be possible to predict some of the foreseeable associated aesthetic problems. Article received: April 10, 2019; Article accepted: July 6, 2019; Published online: October 15, 2019; Original scholarly paperHow to cite this article: Contreras-Koterbay, Scott. "The Teleological Nature of Digital Aesthetics – the New Aesthetic in Advance of Artificial Intelligence." AM Journal of Art and Media Studies 20 (2019): 105-112. doi: 10.25038/am.v0i20.326.

scholarly journals Rethinking the Implications of Transformative Economic Innovations: Mapping Challenges of Private Law

2019 ◽  
Vol 12 (2) ◽  
pp. 47-77
Author(s):  
Julija Kiršienė ◽  
Christopher Kelley ◽  
Deividas Kiršys ◽  
Juras Žymančius
Keyword(s):  
Artificial Intelligence ◽  
Technological Progress ◽  
Emerging Technologies ◽  
Technological Development ◽  
Case Analysis ◽  
Legal Issues ◽  
Private Law ◽  
Early Stages ◽  
Regulatory Uncertainty ◽  
Legal Implications

Abstract This article participates in mapping existing legal implications stemming from contemporary innovation. The article relies on a case analysis of artificial intelligence, drones and blockchain, to reflect a majority of the underlying legal issues to which many emerging innovations might contribute, and it attempts to map them into different categories of challenges – liability, privacy, and property. It concludes by pinpointing three main reasons behind the identified legal implications: the growing “consciousness” and autonomy of emerging technologies, the growing availability of transformative innovations to the broad public and the development of participatory models in economy and other social spheres, including law, and the tendency for transformative innovations to function in regulatory uncertainty. As a means to cope with challenges generated by technological progress, the article leans towards a process-focused approach that promotes embedding values in the early stages of technological development.

scholarly journals The Application of Artificial Intelligence as Evidence in the Court

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
I Ketut Sukewati Lanang Putra Perbawa
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Industry 4.0 ◽  
Technological Development ◽  
The Other ◽  
Procedural Law ◽  
The World ◽  
Valid Evidence ◽  
The Law ◽  
The Government

Revolution Industry 4.0 is one of the biggest era in this century, because in this era the big technological development happening around the world with some of the creation is Artificial Intelligence. Artificial Intelligence is one of the technology that exist in the world and can resembles like a human in the other hand Artificial Intelligence can do what actually human do for example Learning, Planning, Critical Thinking, Problem Solving, any many more. Therefore several countries using it in the court. Artificial Intelligence use it as evidence to prove some case and made prosecutor, judge and lawyer easier to work. However, in Indonesia there wasn’t the law about Artificial Intelligence therefore it would be difficult to use it in the court as evidence because according to several sources in procedural law there are some valid evidence that can only use in the court. However, the crime that happen in Indonesia usually related to technology made all the government have to forming the law about the Artificial Intelligence. 

scholarly journals Artificial intelligence in recommender systems

2020 ◽  
Author(s):  
Qian Zhang ◽  
Jie Lu ◽  
Yaochu Jin
Keyword(s):  
Artificial Intelligence ◽  
Recommender Systems ◽  
Technological Development ◽  
Research Directions ◽  
Research Issues ◽  
Service Support ◽  
Machine Learning Methods ◽  
New Directions ◽  
Fuzzy Techniques ◽  
New Research

Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intelligence and machine learning methods and algorithms, has been naturally applied in the development of recommender systems to improve prediction accuracy and solve data sparsity and cold start problems. This position paper systematically discusses the basic methodologies and prevailing techniques in recommender systems and how AI can effectively improve the technological development and application of recommender systems. The paper not only reviews cutting-edge theoretical and practical contributions, but also identifies current research issues and indicates new research directions. It carefully surveys various issues related to recommender systems that use AI, and also reviews the improvements made to these systems through the use of such AI approaches as fuzzy techniques, transfer learning, genetic algorithms, evolutionary algorithms, neural networks and deep learning, and active learning. The observations in this paper will directly support researchers and professionals to better understand current developments and new directions in the field of recommender systems using AI.

Corporate Digital Responsibility in Construction Engineering

2020 ◽  
Vol 2 (1) ◽  
pp. 32-49
Author(s):  
Bianca Weber-Lewerenz
Keyword(s):  
Artificial Intelligence ◽  
Technological Development ◽  
Ethical Framework ◽  
Ethical Perspective ◽  
Construction Engineering ◽  
Mandatory Requirement ◽  
Project Life Cycle ◽  
Digital Planning ◽  
Digital Environments ◽  
Project Life

Digitization has become a powerful tool for digital planning, construction, and operations with high potential for improved project life cycle. The study discusses digitization and AI from an ethical perspective. After an introduction on the relation of moral and technology and the evaluation of corporate responsibilities in digital environments, the study leads to fields of using AI with developers' and users' ethical responsibilities. The scientific approach examines challenges and potential of human led technologies undergoing digital transformation. The construction industry is challenged by CDR in an era of increasing artificial intelligence (AI) application. As a result of the high demand in both technological development and value-based decision making, CDR in construction examines holistically responsible digitization and AI. It reviews status quo and its ethical framework by law. A key consideration in the ethical impact on AI is differing between human and artificial intelligence as mandatory requirement to define risks, potential, areas of application.

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