scholarly journals Protection of computer-generated works in the era of new technologies

Author(s):  
Ingrida Veiksa

<p>When data on works of different authors are entered into a computer system, the computer analyses, synthesizes and generates a new (derived) work, if such a task or algorithm is given to it. Should computer generated works be considered creative and copyright protected? This issue is relevant in the modern age of technology, when computer systems, the so-called artificial intelligence, are becoming more independent from human influence as they evolve.</p>

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.


2020 ◽  
Author(s):  
S Mukhtar Ayubi Simatupang

AbstrakBrainware adalah istilah yang digunakan untuk manusia yang digunakan untuk manusia yang berhubungan dengan sistem komputer. Manusia merupakan suatu elemen dari sistem komputer yang merancang bagaimana suatu mesin dapat bekerja sesuai dengan hasil yang diinginkan. Tingkatan brainware terdiri atas system analyst, programmer, administrator, dan operator. Bagian bagian brainware terdiri atas operator komputer, teknisi, trainer, konsultan, project manager, programmer, grapic designer, spesialis jaringan, database administrator, dan system analitis. Kata Kunci : Brainware (Perangkat Sumber Daya Manusia)AbstractBrainware is a term used for humans that is used for humans related to computer systems. Humans are an element of a computer system that designs how a machine can work in accordance with the desired results. The brainware level consists of system analysts, programmers, administrators, and operators. The brainware section consists of computer operators, technicians, trainers, consultants, project managers, programmers, grapic designers, network specialists, database administrators, and system analytics.Keywords: Brainware (Human Resources Tool)


Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.


This book is the first to examine the history of imaginative thinking about intelligent machines. As real artificial intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing prehistory of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first centuries in which a greater density of narratives emerged alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI’s social, ethical, and philosophical consequences, including questions of dehumanization, automation, anthropomorphization, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.


Author(s):  
Joshua A. Kroll

This chapter addresses the relationship between AI systems and the concept of accountability. To understand accountability in the context of AI systems, one must begin by examining the various ways the term is used and the variety of concepts to which it is meant to refer. Accountability is often associated with transparency, the principle that systems and processes should be accessible to those affected through an understanding of their structure or function. For a computer system, this often means disclosure about the system’s existence, nature, and scope; scrutiny of its underlying data and reasoning approaches; and connection of the operative rules implemented by the system to the governing norms of its context. Transparency is a useful tool in the governance of computer systems, but only insofar as it serves accountability. There are other mechanisms available for building computer systems that support accountability of their creators and operators. Ultimately, accountability requires establishing answerability relationships that serve the interests of those affected by AI systems.


1985 ◽  
Vol 10 (2) ◽  
pp. 79-86 ◽  
Author(s):  
Anne Costigan ◽  
Frances E. Wood ◽  
David Bawden

A comparative evaluation of three implementations of a large databank, the NIOSH Registry of Toxic Effects of Chem ical Substances, has been carried out. The three implementa tions are: a printed index, a text searching computer system, and a computerised chemical databank system, with substruc ture searching facilities. Seven test queries were used, with the aim of drawing conclusions of general relevance to chemical databank searching. The computer systems were shown to have advantages over printed indexes for several of the queries, including those involving an element of browsing. Substructure search facilities were especially advantageous. Aspects of indexing of data present, and the criteria for inclusion of types of data, were also highlighted.


2021 ◽  
Vol 27 (4) ◽  
Author(s):  
Francisco Lara

AbstractCan Artificial Intelligence (AI) be more effective than human instruction for the moral enhancement of people? The author argues that it only would be if the use of this technology were aimed at increasing the individual's capacity to reflectively decide for themselves, rather than at directly influencing behaviour. To support this, it is shown how a disregard for personal autonomy, in particular, invalidates the main proposals for applying new technologies, both biomedical and AI-based, to moral enhancement. As an alternative to these proposals, this article proposes a virtual assistant that, through dialogue, neutrality and virtual reality technologies, can teach users to make better moral decisions on their own. The author concludes that, as long as certain precautions are taken in its design, such an assistant could do this better than a human instructor adopting the same educational methodology.


2021 ◽  
pp. 1-8
Author(s):  
Edith Brown Weiss

Today, it is evident that we are part of a planetary trust. Conserving our planet represents a public good, global as well as local. The threats to future generations resulting from human activities make applying the normative framework of a planetary trust even more urgent than in the past decades. Initially, the planetary trust focused primarily on threats to the natural system of our human environment such as pollution and natural resource degradation, and on threats to cultural heritage. Now, we face a higher threat of nuclear war, cyber wars, and threats from gene drivers that can cause inheritable changes to genes, potential threats from other new technologies such as artificial intelligence, and possible pandemics. In this context, it is proposed that in the kaleidoscopic world, we must engage all the actors to cooperate with the shared goal of caring for and maintaining planet Earth in trust for present and future generations.


1988 ◽  
Vol 13 (1) ◽  
pp. 25-32 ◽  
Author(s):  
T V Seshadri ◽  
N Kinra

Who, in the organization, buys the computer system? How are various departments involved in the organizational decision process? T V Seshadri and N Kinra analyse the decision processes of 30 organizations that had bought a computer system—mini, mainframe, or macro. Based on a questionnaire study and factor analysis, the authors conclude that the EDP department and Board of Directors are critical in the buying grids of the purchasing organizations. They draw implications of their findings for managers marketing computer systems.


2021 ◽  
Vol 66 (05) ◽  
pp. 168-172
Author(s):  
Leyla Mobil Khankishiyeva ◽  

One of the realities of modern times is the evolution of new technologies around the world, as well as the use of artificial intelligence (AI) and robotics in different spheres of society. Artificial intelligence, which was founded in the middle of the last century, has been one of the most invested in and interesting fields in recent times. Recently one of the most discussed and important issues is the relationship between artificial intelligence (AI) and intellectual property rights (IPR). Thus, the ownership of works created by artificial intelligence is one of the most discussed issues. In recent years, on the initiative of President Ilham Aliyev, modern achievements of world science have been applied in the life of society in the Republic of Azerbaijan. Considering all of this, the significance and urgency of the situation are clear. In other words, this is an issue that is high on both our national and international agendas. Key words: Artificial intelligence technology, creative activity, concept of "author", “work made for hire” doctrine,computer-generated works


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